DSpaceCRIS@UNITENhttp://dspace.uniten.edu.my/jspuiThe DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material.Sun, 24 Jun 2018 12:43:31 GMT2018-06-24T12:43:31Z50661- Study on P-V Curve and V-Q curve of an unbalanced three- phase system with different static loadshttp://dspace.uniten.edu.my/jspui/handle/123456789/7340Title: Study on P-V Curve and V-Q curve of an unbalanced three- phase system with different static loads
Authors: Ramasamy, A.K.; Verayiah, R.; Abidin, I.Z.; Gunalan, S.; Perumal, P.
Abstract: P-V curve and V-Q curve (often term as Q-V curve) are widely used for planning and operation studies. The P-V curve and V-Q curve of an unbalanced three-phase system, unlike the balanced three-phase system, may not have similar loading margin (LM) and reactive power margin (RPM) on each phase. Therefore, DIgSILENT Programming Language (DPL) has been used to study the maximum loading point (MLP), critical point (CP), and also minimum reactive power point (MRPP) on each phase of an unbalanced three-phase system with different static loads. The tracing direction of P-V curve of each phase and the LM and RPM of each phase obtained from the P-V curve and V-Q curve for different static loads are also discussed. On top of that, continuation power flow (CPF) has become a common method to study the MLP. Hence, a simple 2-bus balanced three-phase system is used to validate the result obtained from the DIgSILENT with CPF method. © 2016, Wydawnictwo SIGMA - N O T Sp. z o.o. All rights reserved.
Fri, 01 Jan 2016 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/73402016-01-01T00:00:00Z
- Overcurrent time delay determination using gain scheduled PID controllershttp://dspace.uniten.edu.my/jspui/handle/123456789/7368Title: Overcurrent time delay determination using gain scheduled PID controllers
Authors: Zainul, A.A.; Ramasamy, A.; Abidin, I.Z.; Nagi, F.H.
Abstract: The inverse time overcurrent relay operation is based upon the current setpoint and also the time multiplier setting. Depending on the ratio of the value of the current and the setpoint current together with the value of the time multiplier setting, the amount of time delay for the trip command is determined using the inverse time characteristics. This would mean that the relay is not of the adaptive type and would possibly give a maltripping. This paper uses the concept of PID controller to determine the time delay for the overcurrent relay. ©2009 IEEE.
Thu, 01 Jan 2009 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/73682009-01-01T00:00:00Z
- Cross phase polarization algorithm for fault direction determination using zero crossing method to determine phase differencehttp://dspace.uniten.edu.my/jspui/handle/123456789/7365Title: Cross phase polarization algorithm for fault direction determination using zero crossing method to determine phase difference
Authors: Abidin, A.A.B.Z.; Ramasamy, A.; Abidin, I.Z.; Nagi, F.H.
Abstract: Power systems are usually connected in a condition where there is more than one power supply or voltage source supplying a load. These systems will have protection relays to protect various equipment connected to the system. However in isolating a fault, the direction of the fault needs to be known in order to limit the amount of loss load. This paper shall describe a possible algorithm that could be used in order to perform cross phase polarization. The possible faults that could be detected using this technique include the single phase to ground fault, the phase to phase fault and the double phase to ground fault. Three phase faults require the memory polarization technique that will not be discussed in this paper. The algorithm shall be implemented and tested using the sim power system tool box present in MATLAB. ©2009 IEEE.
Thu, 01 Jan 2009 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/73652009-01-01T00:00:00Z
- FEM and ANN based simulations to study the effect of electrical field distribution on water tree affected polymeric cableshttp://dspace.uniten.edu.my/jspui/handle/123456789/7721Title: FEM and ANN based simulations to study the effect of electrical field distribution on water tree affected polymeric cables
Authors: Sulaiman, S.; Abidin, I.Z.
Abstract: Earlier researches have confirmed that polymeric cables suffer from serious water tree degradation under combined stresses of electrical, thermal and chemical, thus shortening the lifespan of the cables. This paper aims at proposing a methodology using Finite Element Method (FEM) and Artificial Neural Network (ANN) based simulations to estimate the effect and create a database of the electrical field distribution in water tree affected polymeric cables. The water tree lengths in the affected polymeric cables are varied to assess their effect on the level of the electrical field distribution. The permittivity values within the water tree structures are varied accordingly to the lengths measured in water tree growths. The electrical field distribution waveforms arising out of the variation in water tree growths are plotted using FEM software and the results are analysed. Analysis shows that the electrical field distribution levels increases exponentially with the rise in water tree lengths. The results are then translated into electrical field ratios and fed to an ANN simulation. The simulation attempts to create a database for water tree degraded cables with two (2) categories of training inputs i.e. permittivity and water tree length, and a target output of electrical field ratio. The error in the ANN simulation is then marginalised to an error value of less than 1% using the back-propagation method for optimisation of weights. © 2006 IEEE.
Sun, 01 Jan 2006 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/77212006-01-01T00:00:00Z
- Electric power transmissionhttp://dspace.uniten.edu.my/jspui/handle/123456789/5867Title: Electric power transmission
Authors: Osman, M.; Abidin, I.Z.; Abdullah, T.A.R.T.; Marsadek, M.
Abstract: This chapter covers the basic components used for modeling a transmission network. The models start with the basic resistance (. R), inductance (. L), and capacitance (. C) derivation, which proceed toward the effect of bundling of conductors. Combining the RLC elements, the short, medium, and long line models were derived, which were later simplified to a two-port network equivalent. In addition, since the long transmission network suffers from inductance and capacitance effects, DC transmission alternatives (high voltage DC, HVDC) are introduced, which include the required converter and filter configuration. © 2016 Elsevier Inc.
Thu, 01 Jan 2015 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/58672015-01-01T00:00:00Z
- Shunt active power filter for harmonic compensation of nonlinear loadshttp://dspace.uniten.edu.my/jspui/handle/123456789/8Title: Shunt active power filter for harmonic compensation of nonlinear loads
Authors: Hussien, Z.F.; Atan, N.; Abidin, I.Z.
Abstract: This paper presents the design and simulation of a single-phase shunt active power filter for harmonic and power factor compensation of multiple nonlinear loads. The system is modeled in Matlab Simulink to consist of an uncontrolled rectifier and an AC controller as the nonlinear loads, with an active filter to compensate for the harmonic current injected by the load. The active filter is based on a full-bridge single-phase inverter. The design of the active filter controller is based on time-domain method that consists of three main tasks; to identify the harmonic content and form a synchronized reference, to provide closed-loop control to force the current of the active filter to follow the reference and to regulate the capacitor DC voltage. The spectral analysis of the supply current shows the harmonics produced by the load has been successfully compensated by the active filter. The effect of varying the switching frequency on the performance of the active filter is also presented. Â© 2003 IEEE.
Wed, 01 Jan 2003 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/82003-01-01T00:00:00Z
- Electric power transmissionhttp://dspace.uniten.edu.my/jspui/handle/123456789/8247Title: Electric power transmission
Authors: Osman, M.; Abidin, I.Z.; Abdullah, T.A.R.T.; Marsadek, M.
Abstract: This chapter covers the basic components used for modeling a transmission network. The models start with the basic resistance (. R), inductance (. L), and capacitance (. C) derivation, which proceed toward the effect of bundling of conductors. Combining the RLC elements, the short, medium, and long line models were derived, which were later simplified to a two-port network equivalent. In addition, since the long transmission network suffers from inductance and capacitance effects, DC transmission alternatives (high voltage DC, HVDC) are introduced, which include the required converter and filter configuration. © 2016 Elsevier Inc.
Thu, 01 Jan 2015 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/82472015-01-01T00:00:00Z
- Short term load forecasting using a hybrid neural networkhttp://dspace.uniten.edu.my/jspui/handle/123456789/8933Title: Short term load forecasting using a hybrid neural network
Authors: Yap, K.S.; Abidin, I.Z.; Lim, C.P.; Shah, M.S.
Abstract: Short Term Load Forecasting (STLF) is very important from the power systems grid operation point of view. STLF involves forecasting load demand in a short term time frame. The short term time frame may consist of half hourly prediction up to weekly prediction. Accurate forecasting would benefit the utility in terms of reliability and stability of the grid ensuring adequate supply is present to meet with the load demand. Apart from that it would also affect the financial performance of the utility company. An accurate forecast would result in better savings while maintaining the security of the grid. This paper outlines the STLF using a novel hybrid online learning neural network, known as the Gaussian Regression (GR). This new hybrid neural network is a combination of two existing online learning neural networks which are the Gaussian Adaptive Resonance Theory (GA) and the Generalized Regression Neural Network (GRNN). Both GA and GRNN implemented online learning, but each of them suffers from limitation. Originally GA is used for unsupervised clustering by compressing the training samples into several categories. A supervised version of GA is available, namely Gaussian ARTMAP (GAM). However, the GAM is still not capable on solving regression problem. On the other hand, GRNN is designed for solving real value estimation (regression) problem, but the learning process would involve of memorizing all training samples, hence high computational cost. The hybrid GR is considered an enhanced version of GRNN with compression ability while still maintains online learning properties. Simulation results show that GR has comparable prediction accuracy and has less prototype as compared to the original GRNN as well as the Support Vector Regression. © 2006 IEEE.
Sun, 01 Jan 2006 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/89332006-01-01T00:00:00Z
- A study on static voltage collapse proximity indicatorshttp://dspace.uniten.edu.my/jspui/handle/123456789/9026Title: A study on static voltage collapse proximity indicators
Authors: Verayiah, R.; Abidin, I.Z.
Abstract: In the time of rapid growth, there is an increase of demand for a reliable and stable power supply. Due to this, utility companies are forced to operate their power system nearer to its maximum capabilities since system expansion may be a costly option. As a result, the power system will be at risk to voltage collapse. Voltage collapse phenomenon is known to be complex and localised in nature but with a widespread effect. The ultimate effect of voltage collapse would be total system collapse which would incur high losses to utility companies. Thus, online monitoring of power system stability has become a vital factor for electric utility companies.This paper looks into combining a power flow program in MATLAB environment with two line stability indices, which are Fast Voltage Stability Index (FVSI) and Line Stability Index, LQP for automatic contingency ranking. The IEEE 14 Bus Test System is used as a standard test system. This approach investigates each line of the system through calculating an indicator that varies from zero (no load condition) to unity (maximum permissible loading condition). The basic concept of maximum power transfer through a line is utilized. Correlation study on the results obtained from contingency ranking and voltage stability analysis were conducted and it is found that line outages at the weak lines would cause voltage instability condition to a system. Subsequently, using the result from the contingency ranking, weak areas in the system can be identified. Verification of this technique with other existing technique shows a strong agreement between them. ©2008 IEEE.
Tue, 01 Jan 2008 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/90262008-01-01T00:00:00Z
- Short term electricity price forecasting with multistage optimization technique of LSSVM-GAhttp://dspace.uniten.edu.my/jspui/handle/123456789/9187Title: Short term electricity price forecasting with multistage optimization technique of LSSVM-GA
Authors: Razak, I.A.W.A.; Abidin, I.Z.; Siah, Y.K.; Abidin, A.A.Z.; Rahman, T.K.A.
Abstract: Price prediction has now become an important task in the operation of electrical power system. In short term forecast, electricity price can be predicted for an hour-ahead or day-ahead. An hour-ahead prediction offers the market members with the pre-dispatch prices for the next hour. It is useful for an effective bidding strategy where the quantity of bids can be revised or changed prior to the dispatch hour. However, only a few studies have been conducted in the field of hour-ahead forecasting. This is due to most of the power markets apply two-settlement market structure (day-ahead and real time) or standard market design rather than single-settlement system (real time). Therefore, a multistage optimization for hybrid Least Square Support Vector Machine (LSSVM) and Genetic Algorithm (GA) model is developed in this study to provide an accurate price forecast with optimized parameters and input features. So far, no literature has been found on multistage feature and parameter selections using the methods of LSSVM-GA for hour-ahead price prediction. All the models are examined on the Ontario power market; which is reported as among the most volatile market worldwide. A huge number of features are selected by three stages of optimization to avoid from missing any important features. The developed LSSVM-GA shows higher forecast accuracy with lower complexity than the existing models.
Sun, 01 Jan 2017 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/91872017-01-01T00:00:00Z
- A novel Zigbee-based data acquisition system for distributed photovoltaic generation in smart gridhttp://dspace.uniten.edu.my/jspui/handle/123456789/9190Title: A novel Zigbee-based data acquisition system for distributed photovoltaic generation in smart grid
Authors: Zahurul, S.; Mariun, N.; Kah, L.; Hizam, H.; Othman, M.L.; Abidin, I.Z.; Norman, Y.
Abstract: Distributed photovoltaic (PV) power plant monitoring is one of the crucial aspects for energy forecasting and demand management in the future smart grid (SG) through establishing low-powered communication technology. In this paper, Zigbee wireless technology is considered for AC electrical parameters' monitoring of the distributed PV plant located at Universiti Putra Malaysia (UPM). For this consideration, relevant measurement circuits, Arduino UNO embedded board, and Zigbee radio are interfaced to create a wireless (WS)-node for installing in the PV inverter. In addition, a LabVIEW program is implemented and linked to Microsoft Access Database (MS Access DB) at the control center server system for the Zigbee-based wireless data acquisition, storage, and monitoring. The obtained data from the developed system are also validated with the actual PV generation. The results are found comparable and it also reveals that low-powered Zigbee is ideal for monitoring the distributed PV generation where the data delivery requirement is not urgent. © 2015 IEEE.
Fri, 01 Jan 2016 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/91902016-01-01T00:00:00Z
- Assessment of critical loads instigating voltage instability in transmission network using novel load tracing capable index LQP_LT and PSS/E tools validationhttp://dspace.uniten.edu.my/jspui/handle/123456789/9191Title: Assessment of critical loads instigating voltage instability in transmission network using novel load tracing capable index LQP_LT and PSS/E tools validation
Authors: Verayiah, R.; Mohamed, A.; Abidin, I.Z.; Shareef, H.
Abstract: Existing power systems are significantly susceptible to voltage instability problem since such systems are stressed with the huge power transfers across the grids. Various power tracing techniques have been developed but are limited to the application of transmission service pricing in a deregulated environment. This paper presents a novel approach which adopts the power tracing theory for voltage stability improvement via the development of reactive power tracing capable index, named as LQP_LT. The index is tested in IEEE 14 Test Bus System in various contingency states and comparison were made using the results obtained from the industrial graded software PSS/E in evaluating the critical transmission lines in severe contingencies. The LQP_LT index is found to be effective in determining the weak load buses in a transmission system which ultimately responsible to cause stressed lines and overall voltage instability in a system. © JES 2016.
Fri, 01 Jan 2016 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/91912016-01-01T00:00:00Z
- Development of nylon-based artificial muscles for the usage in robotic prosthetic limbhttp://dspace.uniten.edu.my/jspui/handle/123456789/9186Title: Development of nylon-based artificial muscles for the usage in robotic prosthetic limb
Authors: Atikah, N.A.; Weng, L.Y.; Anuar, A.; Fat, C.C.; Abidin, I.Z.; Sahari, K.S.M.
Abstract: This paper describes the development of nylon-based artificial muscles that is intended to be used in prosthetic limb for young amputees. Prosthetic limbs are very expensive and this situation is further compounded for young amputees who are very quickly out-grow their prosthesis. The proposed artificial muscles are made of nylon fishing strings from various size such as 0.45mm, 0.55mm, 0.65mm and 1.00mm. These fishing strings were twisted into coils to create Super Coiled Polymers (SCP) and tested using hot air blower. These artificial muscles react counterintuitively, where when it is exposed to heat, contracts, and when cooled, expands. Peltier devices, when switched-on acts as heat pump, where one side is hot and the other is cold. This phenomenon, when affixed in between 2 SCP's, creates tandem motion similar to triceps and biceps. As initial study, the hot side of the Peltier module was tested using these artificial muscles. The string was measured for both its force production, length contraction, the initial results were promising. © 2017 Author(s).
Sun, 01 Jan 2017 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/91862017-01-01T00:00:00Z
- New generator and shunt reactive power control based secondary voltage control approachhttp://dspace.uniten.edu.my/jspui/handle/123456789/9193Title: New generator and shunt reactive power control based secondary voltage control approach
Authors: Abdullah, S.K.S.; Sarmin, M.K.N.M.; Saadun, N.; Azmi, M.T.; Abidin, I.Z.; Musirin, I.
Abstract: In Malaysian Transmission System (TNB), most of the voltage control and reactive power resources are manually controlled. For better and optimal voltage control of the TNB power system network, new secondary voltage control (SVC) system that coordinates the voltage and reactive power control of continuous and discrete control devices has been developed. The primary goal of new SVC system based control strategy is to control the bus voltage at the selected pilot buses to follow the optimal reference values as updated by TVC system, and the secondary goal is to provide a high-side voltage set-point for power plant control to equilibrate the reactive power distribution among all control generators in each control zone to enhance the security of the power system. In this approach, the coordinated SVC system is designed to control not only the generating units, but also the reactive power devices including transformer tap-changers as well as switched shunt capacitors and reactors. The selection of reactive power devices for control is implemented through substation voltage control (SSVC) system, which then will be the input to the SVC system. If the target voltage of the pilot buses is followed, the power plant voltage controller (PPVC) will be able to equilibrate VAR among the participating power generations to enhance the power system security by increasing the MVAr reserve for dynamic control. Simulation studies based on PSS/E load flow and closed-loop real-time power system simulator using TNB snapshots shows that the new coordinated SVC system approach is able to provide more consistent voltage control actions and has produced great control actions for flatter voltage profile, reducing transmission system loss and increasing VAr reserve margin as compared to the existing SVC approach that is only focused on generator control as the main source for the voltage control. © 2016 Praise Worthy Prize S.r.l. - All rights reserved.
Fri, 01 Jan 2016 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/91932016-01-01T00:00:00Z
- A novel method of BFOA-LSSVM for electricity price forecastinghttp://dspace.uniten.edu.my/jspui/handle/123456789/9188Title: A novel method of BFOA-LSSVM for electricity price forecasting
Authors: Razak, I.A.W.A.; Abidin, I.Z.; Yap, K.S.; Abidin, A.A.Z.; Rahman, T.K.A.; Ahmad, A.
Abstract: Forecasting price has now become an essential task in the operation of electrical power system. Power producers and customers use short term price forecasts to manage and plan for bidding approaches, and hence increase the utilitys profit and energy efficiency. This paper proposes a novel method of Least Square Support Vector Machine (LSSVM) with Bacterial Foraging Optimization Algorithm (BFOA) to predict daily electricity prices in Ontario. The selection of input data and LSSVM's parameters held by BFOA are proven to improve accuracy as well as efficiency of prediction. A comparative study of the proposed method with previous researches was conducted in term of forecast accuracy. The results indicate that (1) the LSSVM with BFOA outperforms other methods for same test data; (2) the optimization algorithm of BFOA gives better accuracy than other optimization techniques. In fact, the proposed approach is less complex compared to other methods presented in this paper. © 2006-2016 Asian Research Publishing Network (ARPN).
Fri, 01 Jan 2016 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/91882016-01-01T00:00:00Z
- Study on P-V Curve and V-Q curve of an unbalanced three- phase system with different static loadshttp://dspace.uniten.edu.my/jspui/handle/123456789/9192Title: Study on P-V Curve and V-Q curve of an unbalanced three- phase system with different static loads
Authors: Ramasamy, A.K.; Verayiah, R.; Abidin, I.Z.; Gunalan, S.; Perumal, P.
Abstract: P-V curve and V-Q curve (often term as Q-V curve) are widely used for planning and operation studies. The P-V curve and V-Q curve of an unbalanced three-phase system, unlike the balanced three-phase system, may not have similar loading margin (LM) and reactive power margin (RPM) on each phase. Therefore, DIgSILENT Programming Language (DPL) has been used to study the maximum loading point (MLP), critical point (CP), and also minimum reactive power point (MRPP) on each phase of an unbalanced three-phase system with different static loads. The tracing direction of P-V curve of each phase and the LM and RPM of each phase obtained from the P-V curve and V-Q curve for different static loads are also discussed. On top of that, continuation power flow (CPF) has become a common method to study the MLP. Hence, a simple 2-bus balanced three-phase system is used to validate the result obtained from the DIgSILENT with CPF method. © 2016, Wydawnictwo SIGMA - N O T Sp. z o.o. All rights reserved.
Fri, 01 Jan 2016 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/91922016-01-01T00:00:00Z
- Ambient temperature effect on Amorphous Silicon (A-Si) Photovoltaic module using sensing technologyhttp://dspace.uniten.edu.my/jspui/handle/123456789/9189Title: Ambient temperature effect on Amorphous Silicon (A-Si) Photovoltaic module using sensing technology
Authors: Zahurul, S.; Mariun, N.; Othman, M.L.; Hizam, H.; Abidin, I.Z.; Toudeshki, A.
Abstract: Temperature and solar irradiance are the two dominating cardinals that determine the electrical performance of Photovoltaic (PV) module. In this paper, an experiment is conducted considering Amorphous Silicon (A-Si) PV module in both indoor and outdoor condition to investigate the temperature effect on A-Si module's performance in terms of efficiency and output power through an automatic resistor selection system. The experimental result shows that A-Si PV module has small temperature coefficient effect; however it has higher effect on solar radiation coefficient. A comparison analysis is evaluated with different models to validate the experimental data. © 2015 IEEE.
Fri, 01 Jan 2016 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/91892016-01-01T00:00:00Z
- Continual improvement and assessment plan for Mechanical Engineering Programme in UNITENhttp://dspace.uniten.edu.my/jspui/handle/123456789/9229Title: Continual improvement and assessment plan for Mechanical Engineering Programme in UNITEN
Authors: Anuar, A.; Shuaib, N.H.; Mohamed Sahari, K.S.; Abidin, I.Z.
Abstract: This paper describes the continuous quality improvement (CQI) process plan that was developed and implemented by the Department of Mechanical Engineering (DME), Universiti Tenaga Nasional (UNITEN), Malaysia for its Bachelor of Mechanical Engineering Programme. The plan is part of the Outcome-Based Education (OBE) system that is required by the Engineering Accreditation Council (EAC) of Malaysia. DME has implemented OBE approach in the programme for the past 3 years. Throughout the implementation process, the Department has developed ongoing assessment and CQI plan to measure the outcomes and improve the teaching and learning process. This plan, which was first implemented at the end of 2006, has generally shown a positive trend in the teaching and learning process in the programme. This paper also discusses the assessment tools that are used in the continuous quality improvement (CQI) plan. Assessment is one of the important parts in the CQI plan. Direct and indirect measurement methods are used to gather the data which are to be analysed to measure the outcome attainment. The attainment results are used to identify the areas that need to be improved. The assessment plan has been continuously improved to be more effective in measuring the achievement of the OBE implementation in the department. © 2009 IEEE.
Thu, 01 Jan 2009 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92292009-01-01T00:00:00Z
- A study on static voltage collapse proximity indicatorshttp://dspace.uniten.edu.my/jspui/handle/123456789/9236Title: A study on static voltage collapse proximity indicators
Authors: Verayiah, R.; Abidin, I.Z.
Abstract: In the time of rapid growth, there is an increase of demand for a reliable and stable power supply. Due to this, utility companies are forced to operate their power system nearer to its maximum capabilities since system expansion may be a costly option. As a result, the power system will be at risk to voltage collapse. Voltage collapse phenomenon is known to be complex and localised in nature but with a widespread effect. The ultimate effect of voltage collapse would be total system collapse which would incur high losses to utility companies. Thus, online monitoring of power system stability has become a vital factor for electric utility companies.This paper looks into combining a power flow program in MATLAB environment with two line stability indices, which are Fast Voltage Stability Index (FVSI) and Line Stability Index, LQP for automatic contingency ranking. The IEEE 14 Bus Test System is used as a standard test system. This approach investigates each line of the system through calculating an indicator that varies from zero (no load condition) to unity (maximum permissible loading condition). The basic concept of maximum power transfer through a line is utilized. Correlation study on the results obtained from contingency ranking and voltage stability analysis were conducted and it is found that line outages at the weak lines would cause voltage instability condition to a system. Subsequently, using the result from the contingency ranking, weak areas in the system can be identified. Verification of this technique with other existing technique shows a strong agreement between them. ©2008 IEEE.
Tue, 01 Jan 2008 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92362008-01-01T00:00:00Z
- Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithmhttp://dspace.uniten.edu.my/jspui/handle/123456789/9239Title: Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm
Authors: Yap, K.S.; Abidin, I.Z.; Ahmad, A.R.; Hussien, Z.F.; Pok, H.L.; Ismail, F.I.; Mohamad, A.M.
Abstract: This paper presents an intelligent system to reduce Non Technical Loss (NTL) using hybrid Support Vector Machine (SVM) and Genetic Algorithm (GA). The main motivation for this research is to assist Sabah Electricity Sdn. Bhd. (SESB) to reduce their distribution loss, estimated around 15% at present in Sabah State, Malaysia. The hybrid algorithm is able to preselect customers to be inspected on-site for abnormalities or potential fraud according to their consumption patterns. SVM is a classification technique developed by Vapnik [1] but a practical difficulty of using SVM is the selection of parameters such as C and kernel parameter, ó in Gaussian RBF kernel. The purpose of choosing parameters is to get the best generalization performance. Genetic Algorithm (GA) is used to search for the best parameter of SVM classification by using combination of random and pre-populated genomes from Pre-Populated Database (PPD). It provides an increased convergence and globally optimized solutions. The algorithm has been tested using actual customer consumption data from SESB. 10 fold cross validation method is used to confirm the consistency of the detection accuracy. The paper also highlights comparison results between typical SVM and SVM-GA. The highest fraud detection accuracy for SVMGA is 94%.
Mon, 01 Jan 2007 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92392007-01-01T00:00:00Z
- Determination of auto-recloser location using cost analysis in the sabah electricity distribution networkhttp://dspace.uniten.edu.my/jspui/handle/123456789/9242Title: Determination of auto-recloser location using cost analysis in the sabah electricity distribution network
Authors: Hashim, A.H.; Mohamad, A.M.; Abidin, I.Z.; Baharuddin, M.Z.; Yeoh, E.C.
Abstract: Sabah Electricity (SESB) operates a vertically integrated electricity utility in East Malaysia. It is currently embarking on an initiative to improve the reliability of its 11kV distribution network which is prone to trippings due to vegetation growth along their long spur lines. Apart from rentice management, another proposed solution is to install auto-reclosers (AR) at appropriate locations in their network. This work deals in developing a methodology to determine the most economic location of ARs and their numbers to be installed. In order to do that, data in the form of customer types, load levels and network topology were collected from site visits at SESB. The study then used an estimated Value of Lost Load (VoLL) to quantify the financial losses that customers suffer given a loss of supply. These losses would then be summed with the cost of ARs for a particular AR placement scenario to form an objective function. The best placement and numbers of AR can be decided by determining the least cost option from the said objective function. © 2006 IEEE.
Sun, 01 Jan 2006 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92422006-01-01T00:00:00Z
- Short term load forecasting using a hybrid neural networkhttp://dspace.uniten.edu.my/jspui/handle/123456789/9241Title: Short term load forecasting using a hybrid neural network
Authors: Yap, K.S.; Abidin, I.Z.; Lim, C.P.; Shah, M.S.
Abstract: Short Term Load Forecasting (STLF) is very important from the power systems grid operation point of view. STLF involves forecasting load demand in a short term time frame. The short term time frame may consist of half hourly prediction up to weekly prediction. Accurate forecasting would benefit the utility in terms of reliability and stability of the grid ensuring adequate supply is present to meet with the load demand. Apart from that it would also affect the financial performance of the utility company. An accurate forecast would result in better savings while maintaining the security of the grid. This paper outlines the STLF using a novel hybrid online learning neural network, known as the Gaussian Regression (GR). This new hybrid neural network is a combination of two existing online learning neural networks which are the Gaussian Adaptive Resonance Theory (GA) and the Generalized Regression Neural Network (GRNN). Both GA and GRNN implemented online learning, but each of them suffers from limitation. Originally GA is used for unsupervised clustering by compressing the training samples into several categories. A supervised version of GA is available, namely Gaussian ARTMAP (GAM). However, the GAM is still not capable on solving regression problem. On the other hand, GRNN is designed for solving real value estimation (regression) problem, but the learning process would involve of memorizing all training samples, hence high computational cost. The hybrid GR is considered an enhanced version of GRNN with compression ability while still maintains online learning properties. Simulation results show that GR has comparable prediction accuracy and has less prototype as compared to the original GRNN as well as the Support Vector Regression. © 2006 IEEE.
Sun, 01 Jan 2006 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92412006-01-01T00:00:00Z
- FEM and ANN based simulations to study the effect of electrical field distribution on water tree affected polymeric cableshttp://dspace.uniten.edu.my/jspui/handle/123456789/9240Title: FEM and ANN based simulations to study the effect of electrical field distribution on water tree affected polymeric cables
Authors: Sulaiman, S.; Abidin, I.Z.
Abstract: Earlier researches have confirmed that polymeric cables suffer from serious water tree degradation under combined stresses of electrical, thermal and chemical, thus shortening the lifespan of the cables. This paper aims at proposing a methodology using Finite Element Method (FEM) and Artificial Neural Network (ANN) based simulations to estimate the effect and create a database of the electrical field distribution in water tree affected polymeric cables. The water tree lengths in the affected polymeric cables are varied to assess their effect on the level of the electrical field distribution. The permittivity values within the water tree structures are varied accordingly to the lengths measured in water tree growths. The electrical field distribution waveforms arising out of the variation in water tree growths are plotted using FEM software and the results are analysed. Analysis shows that the electrical field distribution levels increases exponentially with the rise in water tree lengths. The results are then translated into electrical field ratios and fed to an ANN simulation. The simulation attempts to create a database for water tree degraded cables with two (2) categories of training inputs i.e. permittivity and water tree length, and a target output of electrical field ratio. The error in the ANN simulation is then marginalised to an error value of less than 1% using the back-propagation method for optimisation of weights. © 2006 IEEE.
Sun, 01 Jan 2006 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92402006-01-01T00:00:00Z
- Shunt active power filter for harmonic compensation of nonlinear loadshttp://dspace.uniten.edu.my/jspui/handle/123456789/9243Title: Shunt active power filter for harmonic compensation of nonlinear loads
Authors: Hussien, Z.F.; Atan, N.; Abidin, I.Z.
Abstract: This paper presents the design and simulation of a single-phase shunt active power filter for harmonic and power factor compensation of multiple nonlinear loads. The system is modeled in Matlab Simulink to consist of an uncontrolled rectifier and an AC controller as the nonlinear loads, with an active filter to compensate for the harmonic current injected by the load. The active filter is based on a full-bridge single-phase inverter. The design of the active filter controller is based on time-domain method that consists of three main tasks; to identify the harmonic content and form a synchronized reference, to provide closed-loop control to force the current of the active filter to follow the reference and to regulate the capacitor DC voltage. The spectral analysis of the supply current shows the harmonics produced by the load has been successfully compensated by the active filter. The effect of varying the switching frequency on the performance of the active filter is also presented. © 2003 IEEE.
Wed, 01 Jan 2003 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92432003-01-01T00:00:00Z
- A hybrid ART-GRNN online learning neural network with a ε-insensitive loss functionhttp://dspace.uniten.edu.my/jspui/handle/123456789/9238Title: A hybrid ART-GRNN online learning neural network with a ε-insensitive loss function
Authors: Yap, K.S.; Lim, C.P.; Abidin, I.Z.
Abstract: In this brief, a new neural network model called generalized adaptive resonance theory (GART) is introduced. GART is a hybrid model that comprises a modified Gaussian adaptive resonance theory (MGA) and the generalized regression neural network (GRNN). It is an enhanced version of the GRNN, which preserves the online learning properties of adaptive resonance theory (ART). A series of empirical studies to assess the effectiveness of GART in classification, regression, and time series prediction tasks is conducted. The results demonstrate that GART is able to produce good performances as compared with those of other methods, including the online sequential extreme learning machine (OSELM) and sequential learning radial basis function (RBF) neural network models. © 2008 IEEE.
Tue, 01 Jan 2008 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92382008-01-01T00:00:00Z
- A novel method of BFOA-LSSVM for electricity price forecastinghttp://dspace.uniten.edu.my/jspui/handle/123456789/8890Title: A novel method of BFOA-LSSVM for electricity price forecasting
Authors: Razak, I.A.W.A.; Abidin, I.Z.; Yap, K.S.; Abidin, A.A.Z.; Rahman, T.K.A.; Ahmad, A.
Abstract: Forecasting price has now become an essential task in the operation of electrical power system. Power producers and customers use short term price forecasts to manage and plan for bidding approaches, and hence increase the utilitys profit and energy efficiency. This paper proposes a novel method of Least Square Support Vector Machine (LSSVM) with Bacterial Foraging Optimization Algorithm (BFOA) to predict daily electricity prices in Ontario. The selection of input data and LSSVM's parameters held by BFOA are proven to improve accuracy as well as efficiency of prediction. A comparative study of the proposed method with previous researches was conducted in term of forecast accuracy. The results indicate that (1) the LSSVM with BFOA outperforms other methods for same test data; (2) the optimization algorithm of BFOA gives better accuracy than other optimization techniques. In fact, the proposed approach is less complex compared to other methods presented in this paper. © 2006-2016 Asian Research Publishing Network (ARPN).
Fri, 01 Jan 2016 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/88902016-01-01T00:00:00Z
- Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithmhttp://dspace.uniten.edu.my/jspui/handle/123456789/8932Title: Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm
Authors: Yap, K.S.; Abidin, I.Z.; Ahmad, A.R.; Hussien, Z.F.; Pok, H.L.; Ismail, F.I.; Mohamad, A.M.
Abstract: This paper presents an intelligent system to reduce Non Technical Loss (NTL) using hybrid Support Vector Machine (SVM) and Genetic Algorithm (GA). The main motivation for this research is to assist Sabah Electricity Sdn. Bhd. (SESB) to reduce their distribution loss, estimated around 15% at present in Sabah State, Malaysia. The hybrid algorithm is able to preselect customers to be inspected on-site for abnormalities or potential fraud according to their consumption patterns. SVM is a classification technique developed by Vapnik [1] but a practical difficulty of using SVM is the selection of parameters such as C and kernel parameter, ó in Gaussian RBF kernel. The purpose of choosing parameters is to get the best generalization performance. Genetic Algorithm (GA) is used to search for the best parameter of SVM classification by using combination of random and pre-populated genomes from Pre-Populated Database (PPD). It provides an increased convergence and globally optimized solutions. The algorithm has been tested using actual customer consumption data from SESB. 10 fold cross validation method is used to confirm the consistency of the detection accuracy. The paper also highlights comparison results between typical SVM and SVM-GA. The highest fraud detection accuracy for SVMGA is 94%.
Mon, 01 Jan 2007 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/89322007-01-01T00:00:00Z
- A hybrid ART-GRNN online learning neural network with a ε-insensitive loss functionhttp://dspace.uniten.edu.my/jspui/handle/123456789/8931Title: A hybrid ART-GRNN online learning neural network with a ε-insensitive loss function
Authors: Yap, K.S.; Lim, C.P.; Abidin, I.Z.
Abstract: In this brief, a new neural network model called generalized adaptive resonance theory (GART) is introduced. GART is a hybrid model that comprises a modified Gaussian adaptive resonance theory (MGA) and the generalized regression neural network (GRNN). It is an enhanced version of the GRNN, which preserves the online learning properties of adaptive resonance theory (ART). A series of empirical studies to assess the effectiveness of GART in classification, regression, and time series prediction tasks is conducted. The results demonstrate that GART is able to produce good performances as compared with those of other methods, including the online sequential extreme learning machine (OSELM) and sequential learning radial basis function (RBF) neural network models. © 2008 IEEE.
Tue, 01 Jan 2008 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/89312008-01-01T00:00:00Z
- Assessment of critical loads instigating voltage instability in transmission network using novel load tracing capable index LQP_LT and PSS/E tools validationhttp://dspace.uniten.edu.my/jspui/handle/123456789/9018Title: Assessment of critical loads instigating voltage instability in transmission network using novel load tracing capable index LQP_LT and PSS/E tools validation
Authors: Verayiah, R.; Mohamed, A.; Abidin, I.Z.; Shareef, H.
Abstract: Existing power systems are significantly susceptible to voltage instability problem since such systems are stressed with the huge power transfers across the grids. Various power tracing techniques have been developed but are limited to the application of transmission service pricing in a deregulated environment. This paper presents a novel approach which adopts the power tracing theory for voltage stability improvement via the development of reactive power tracing capable index, named as LQP_LT. The index is tested in IEEE 14 Test Bus System in various contingency states and comparison were made using the results obtained from the industrial graded software PSS/E in evaluating the critical transmission lines in severe contingencies. The LQP_LT index is found to be effective in determining the weak load buses in a transmission system which ultimately responsible to cause stressed lines and overall voltage instability in a system. © JES 2016.
Fri, 01 Jan 2016 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/90182016-01-01T00:00:00Z
- Study on P-V Curve and V-Q curve of an unbalanced three- phase system with different static loadshttp://dspace.uniten.edu.my/jspui/handle/123456789/9019Title: Study on P-V Curve and V-Q curve of an unbalanced three- phase system with different static loads
Authors: Ramasamy, A.K.; Verayiah, R.; Abidin, I.Z.; Gunalan, S.; Perumal, P.
Abstract: P-V curve and V-Q curve (often term as Q-V curve) are widely used for planning and operation studies. The P-V curve and V-Q curve of an unbalanced three-phase system, unlike the balanced three-phase system, may not have similar loading margin (LM) and reactive power margin (RPM) on each phase. Therefore, DIgSILENT Programming Language (DPL) has been used to study the maximum loading point (MLP), critical point (CP), and also minimum reactive power point (MRPP) on each phase of an unbalanced three-phase system with different static loads. The tracing direction of P-V curve of each phase and the LM and RPM of each phase obtained from the P-V curve and V-Q curve for different static loads are also discussed. On top of that, continuation power flow (CPF) has become a common method to study the MLP. Hence, a simple 2-bus balanced three-phase system is used to validate the result obtained from the DIgSILENT with CPF method. © 2016, Wydawnictwo SIGMA - N O T Sp. z o.o. All rights reserved.
Fri, 01 Jan 2016 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/90192016-01-01T00:00:00Z
- Under voltage load shedding scheme using meta-heuristic optimization methodshttp://dspace.uniten.edu.my/jspui/handle/123456789/9020Title: Under voltage load shedding scheme using meta-heuristic optimization methods
Authors: Verayiah, R.; Mohamed, A.; Shareef, H.; Abidin, I.Z.
Abstract: Load shedding has been extensively studied because of multiple power system failure occurrences worldwide. Reliable techniques are required to provide rapid and precise load shedding to avert voltage collapse in power networks. Meta-heuristic optimization approaches are currently the widely developed methods because of their robustness and flexibility in dealing with complex and non-linear systems. These methods include genetic algorithm, fuzzy logic control, particle swarm optimization, artificial neural network, ant colony optimization, big-bang big-crunch optimization, and many others. This study provides an overview of all the meta-heuristic methods implemented for under voltage load shedding in power systems. © 2014, Wydawnictwo SIGMA - N O T Sp. z o.o. All rights reserved.
Wed, 01 Jan 2014 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/90202014-01-01T00:00:00Z
- Electric power transmissionhttp://dspace.uniten.edu.my/jspui/handle/123456789/9123Title: Electric power transmission
Authors: Osman, M.; Abidin, I.Z.; Abdullah, T.A.R.T.; Marsadek, M.
Abstract: This chapter covers the basic components used for modeling a transmission network. The models start with the basic resistance (. R), inductance (. L), and capacitance (. C) derivation, which proceed toward the effect of bundling of conductors. Combining the RLC elements, the short, medium, and long line models were derived, which were later simplified to a two-port network equivalent. In addition, since the long transmission network suffers from inductance and capacitance effects, DC transmission alternatives (high voltage DC, HVDC) are introduced, which include the required converter and filter configuration. © 2016 Elsevier Inc.
Thu, 01 Jan 2015 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/91232015-01-01T00:00:00Z
- Future strategic plan analysis for integrating distributed renewable generation to smart grid through wireless sensor network: Malaysia prospecthttp://dspace.uniten.edu.my/jspui/handle/123456789/9194Title: Future strategic plan analysis for integrating distributed renewable generation to smart grid through wireless sensor network: Malaysia prospect
Authors: Zahurul, S.; Mariun, N.; Grozescu, I.V.; Tsuyoshi, H.; Mitani, Y.; Othman, M.L.; Hizam, H.; Abidin, I.Z.
Abstract: Integration of Distributed Renewable Generation (DRG) to the future Smart Grid (SG) is one of the important considerations that is highly prioritized in the SG development roadmap by most of the countries including Malaysia. The plausible way of this integration is the enhancement of information and bidirectional communication infrastructure for energy monitoring and controlling facilities. However, urgency of data delivery through maintaining critical time condition is not crucial in these facilities. In this paper, we have surveyed state-of-the-art protocols for different Wireless Sensor Networks (WSNs) with the aim of realizing communication infrastructure for DRG in Malaysia. Based on the analytical results from surveys, data communication for DRG should be efficient, flexible, reliable, cost effective, and secured. To meet this achievement, IEEE802.15.4 supported ZigBee PRO protocol together with sensors and embedded system is shown as Wireless Sensor (WS) for DRG bidirectional network with prospect of attaining data monitoring facilities. The prospect towards utilizing ZigBee PRO protocol can be a cost effective option for full integration of intelligent DRG and small scale Building-Integrated Photovoltaic (BIPV)/Feed-in-Tariff (FiT) under SG roadmap (Phase4: 2016-2017) conducted by Malaysia national utility company, Tenaga Nasional Berhad (TNB). Moreover, we have provided a direction to utilize the effectiveness of ZigBee-WS network with the existing optical communication backbone for data importing from the end DRG site to the TNB control center. A comparative study is carried out among developing countries on recent trends of SG progress which reveals that some common projects like smart metering and DRG integration are on priority. © 2015 Elsevier Ltd. Published by Elsevier Ltd.
Fri, 01 Jan 2016 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/91942016-01-01T00:00:00Z
- A conceptual model for inter-state corporate waqf financing for higher learninghttp://dspace.uniten.edu.my/jspui/handle/123456789/9198Title: A conceptual model for inter-state corporate waqf financing for higher learning
Authors: Shamsudin, A.F.; Hashim, J.; Wan Yusof, W.S.; Yusof, A.; Mohamad, S.; Yusof, A.M.; Zainudin, N.H.; Hashim, H.; Abidin, I.Z.
Abstract: Higher education is over dependent on public funds, cash endowments and business contributions which are non-perpetual and may only concern the current and immediate future generations.A resource-based corporate waqf to develop and sustain the higher education sectorwill be explored in this paper.Theresourcebased (from output of harnessing water, energy, land banks and forests) corporate waqf financing are by itself inherently perpetual and sustainable. However, the conventionaltheory of perpetual resource flows across state's borders may constrain the inter-state flow of waqf funds. An Islamic economic theoretical framework of resource-based corporate waqf financing is explored in this study. The optimization of costeffective allocation of burdens of responsibility between many sources (power generators) and receptors (higher education institutions, students) of corporate waqf is modelled. A literature review of Islamic approachesreveal for example, the Islamic principles of Al-Hisbah (administration of public interest) that can minimize the burdens to be shared by the inter-state sourcesand receptors in the interstate model.
Thu, 01 Jan 2015 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/91982015-01-01T00:00:00Z
- Dynamic regression intervention modeling for the Malaysian daily loadhttp://dspace.uniten.edu.my/jspui/handle/123456789/9200Title: Dynamic regression intervention modeling for the Malaysian daily load
Authors: Razak, F.A.; Shitan, M.; Hashim, A.H.; Abidin, I.Z.
Abstract: Malaysia is a unique country due to having both fixed and moving holidays. These moving holidays may overlap with other fixed holidays and therefore, increase the complexity of the load forecasting activities. The errors due to holidays' effects in the load forecasting are known to be higher than other factors. If these effects can be estimated and removed, the behavior of the series could be better viewed. Thus, the aim of this paper is to improve the forecasting errors by using a dynamic regression model with intervention analysis. Based on the linear transfer function method, a daily load model consists of either peak or average is developed. The developed model outperformed the seasonal ARIMA model in estimating the fixed and moving holidays' effects and achieved a smaller Mean Absolute Percentage Error (MAPE) in load forecast.
Wed, 01 Jan 2014 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92002014-01-01T00:00:00Z
- Electric power transmissionhttp://dspace.uniten.edu.my/jspui/handle/123456789/9195Title: Electric power transmission
Authors: Osman, M.; Abidin, I.Z.; Abdullah, T.A.R.T.; Marsadek, M.
Abstract: This chapter covers the basic components used for modeling a transmission network. The models start with the basic resistance (. R), inductance (. L), and capacitance (. C) derivation, which proceed toward the effect of bundling of conductors. Combining the RLC elements, the short, medium, and long line models were derived, which were later simplified to a two-port network equivalent. In addition, since the long transmission network suffers from inductance and capacitance effects, DC transmission alternatives (high voltage DC, HVDC) are introduced, which include the required converter and filter configuration. © 2016 Elsevier Inc.
Thu, 01 Jan 2015 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/91952015-01-01T00:00:00Z
- Cross phase polarization algorithm for fault direction determination using zero crossing method to determine phase differencehttp://dspace.uniten.edu.my/jspui/handle/123456789/9226Title: Cross phase polarization algorithm for fault direction determination using zero crossing method to determine phase difference
Authors: Abidin, A.A.B.Z.; Ramasamy, A.; Abidin, I.Z.; Nagi, F.H.
Abstract: Power systems are usually connected in a condition where there is more than one power supply or voltage source supplying a load. These systems will have protection relays to protect various equipment connected to the system. However in isolating a fault, the direction of the fault needs to be known in order to limit the amount of loss load. This paper shall describe a possible algorithm that could be used in order to perform cross phase polarization. The possible faults that could be detected using this technique include the single phase to ground fault, the phase to phase fault and the double phase to ground fault. Three phase faults require the memory polarization technique that will not be discussed in this paper. The algorithm shall be implemented and tested using the sim power system tool box present in MATLAB. ©2009 IEEE.
Thu, 01 Jan 2009 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92262009-01-01T00:00:00Z
- Congestion management based optimization technique using bee colonyhttp://dspace.uniten.edu.my/jspui/handle/123456789/9222Title: Congestion management based optimization technique using bee colony
Authors: Rahim, M.A.; Musirin, I.; Abidin, I.Z.; Othman, M.M.; Joshi, D.
Abstract: Congestion management problem is a popular issue in power system which can be due to line, voltage and thermal constraints. This phenomenon can possibly lead to voltage instability occurrence, loss increment and voltage drop in power system. Therefore, a proper management of congestion should be carried appropriately in order to maintain system operability considering all the available constraints. This paper presents congestion management problem using bee colony optimization approach. The aim of the study is to optimize the cost of generation in power system network within the given available constraints. The study involved the development of bee colony algorithm in addressing congestion management, considering cost optimization as the objective function. Line constraint is also taken into consideration in this study which depends on the electrical power provider to allow the power delivered to the customers. Tests conducted on the IEEE 30-Bus Reliability Test System for performance assessment revealed that the proposed bee algorithm technique is better than evolutionary programming technique in addressing this problem. ©2010 IEEE.
Fri, 01 Jan 2010 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92222010-01-01T00:00:00Z
- Verification of conductor temperature and time to thermal-overload calculations by experimentshttp://dspace.uniten.edu.my/jspui/handle/123456789/9224Title: Verification of conductor temperature and time to thermal-overload calculations by experiments
Authors: Rahim, A.A.; Abidin, I.Z.
Abstract: Thermal rating calculation for bare overhead conductor can be done by using conductor Weather Model (WM). The critical information required in verification of the thermal rating calculation result is the conductor temperature. This paper discusses about experiments that has been conducted to verify the accuracy of the conductor temperature calculation. The experiment was also conducted to determine time to thermal-overload of a transmission line conductor ©2009 IEEE.
Thu, 01 Jan 2009 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92242009-01-01T00:00:00Z
- Thermal rating monitoring of the TNB overhead transmission line using line ground clearance measurement and weather monitoring techniqueshttp://dspace.uniten.edu.my/jspui/handle/123456789/9221Title: Thermal rating monitoring of the TNB overhead transmission line using line ground clearance measurement and weather monitoring techniques
Authors: Rahim, A.A.; Abidin, I.Z.; Tarlochan, F.; Hashim, M.F.
Abstract: Power transfer through a short transmission line is mainly limited by thermal rating. Accurate determination of thermal rating can maximize power transfer which subsequently saves utility from building new lines. Thermal rating normally is set to a certain conductor temperature which during operation the transmission line will not has problem with ground clearance and the conductor material properties will remain in its original state. The conductor temperature varies with weather parameters and loading and it has close relationship with line sag or line ground clearance. The conductor temperature can be determined by monitoring the line ground clearance and weather parameters and the actual thermal rating can be calculated. Monitoring of the line ground clearance can be done in real time using laser distance measurement sensor with data logger and real time monitoring and calculation software. © 2010 IEEE.
Fri, 01 Jan 2010 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92212010-01-01T00:00:00Z
- Overcurrent time delay determination using gain scheduled PID controllershttp://dspace.uniten.edu.my/jspui/handle/123456789/9227Title: Overcurrent time delay determination using gain scheduled PID controllers
Authors: Zainul, A.A.; Ramasamy, A.; Abidin, I.Z.; Nagi, F.H.
Abstract: The inverse time overcurrent relay operation is based upon the current setpoint and also the time multiplier setting. Depending on the ratio of the value of the current and the setpoint current together with the value of the time multiplier setting, the amount of time delay for the trip command is determined using the inverse time characteristics. This would mean that the relay is not of the adaptive type and would possibly give a maltripping. This paper uses the concept of PID controller to determine the time delay for the overcurrent relay. ©2009 IEEE.
Thu, 01 Jan 2009 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92272009-01-01T00:00:00Z
- MOSELM approach for Voltage Stability Indicator using phasor measurement unitshttp://dspace.uniten.edu.my/jspui/handle/123456789/8905Title: MOSELM approach for Voltage Stability Indicator using phasor measurement units
Authors: Abidin, I.Z.; Yap, K.S.; Saadun, N.; Abdullah, S.K.S.; Mohd Sarmin, M.K.N.
Abstract: Voltage stability assessment is important in order to ensure a stable power system. Two algorithms were discussed in this paper which looks into estimating voltage stability based upon Thevenin Equivalent values in a system using Voltage and Current Phasors for different loading values. The first algorithm uses a Kalman filter based formulation. The second method uses an Online Learning approach known as the Modified Online Sequence Extreme Learning Machine (MOSELM). Results show that the Kalman Filter approach is capable of analyzing voltage stability but it requires some user specified information for tuning. On the other hand, the MOSELM approach show that it is capable of producing the same result as the Kalman Filter approach but require less amount of user specified information. © 2012 IEEE.
Sun, 01 Jan 2012 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/89052012-01-01T00:00:00Z
- Communication for Distributed Renewable Generations (DRGs): A review on the penetration to Smart Grids (SGs)http://dspace.uniten.edu.my/jspui/handle/123456789/9210Title: Communication for Distributed Renewable Generations (DRGs): A review on the penetration to Smart Grids (SGs)
Authors: Islam, S.Z.; Mariun, N.; Hizam, H.; Othman, M.L.; Radzi, M.A.M.; Hanif, M.; Abidin, I.Z.
Abstract: The use of energy in the domestic and industries lead to the pollution mainly due to the greenhouse gas emissions as well as pressure to replace the scarce fossil-fuel based energy. These contribute to the urgency towards the deployment of Renewable Energy (RE) and concurrently, the optimization of the existing energy distribution via Smart Grids (SGs). However, the present SGs implementation is still in their maturing stages especially in developing countries and yet to be extensively deployed due to many challenges. One of them is to develop robust, scalable and secured communication system between the Distributed Renewable Generations (DRGs) and the SGs. Improvement in the communication system definitely will increase the efficiency of both the existing energy management as well as the feeding system between the relatively low output DRGs to the SGs. In this paper, first we discussed DRGs especially solar Photovoltaic (PV) and wind generations along the suitable areas to mitigate weather uncertainty. Then a review on communication network architecture and Energy Management System (EMS) for integrating DRGs to the grid is presented. A comparison among the network technologies were also done to determine the robustness and efficiency of the network communication in terms of SGs. © 2012 IEEE.
Sun, 01 Jan 2012 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92102012-01-01T00:00:00Z
- MOSELM approach for Voltage Stability Indicator using phasor measurement unitshttp://dspace.uniten.edu.my/jspui/handle/123456789/9209Title: MOSELM approach for Voltage Stability Indicator using phasor measurement units
Authors: Abidin, I.Z.; Yap, K.S.; Saadun, N.; Abdullah, S.K.S.; Mohd Sarmin, M.K.N.
Abstract: Voltage stability assessment is important in order to ensure a stable power system. Two algorithms were discussed in this paper which looks into estimating voltage stability based upon Thevenin Equivalent values in a system using Voltage and Current Phasors for different loading values. The first algorithm uses a Kalman filter based formulation. The second method uses an Online Learning approach known as the Modified Online Sequence Extreme Learning Machine (MOSELM). Results show that the Kalman Filter approach is capable of analyzing voltage stability but it requires some user specified information for tuning. On the other hand, the MOSELM approach show that it is capable of producing the same result as the Kalman Filter approach but require less amount of user specified information. © 2012 IEEE.
Sun, 01 Jan 2012 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92092012-01-01T00:00:00Z
- Adaptive and automatic Closed-Loop coordinated voltage control based model for optimal voltage control: A Case Studyhttp://dspace.uniten.edu.my/jspui/handle/123456789/9205Title: Adaptive and automatic Closed-Loop coordinated voltage control based model for optimal voltage control: A Case Study
Authors: Abdullah, S.K.S.; Sarmin, M.K.N.M.; Saadun, N.; Azmi, M.T.; Abidin, I.Z.; Musirin, I.
Abstract: Effective and efficient management of voltage control devices and reactive power resources is one of the most challenging tasks in power system operation. The need for proper voltage control is mainly to fulfill the following requirements: system security, economic operation and voltage quality. In Malaysian Transmission System (MTS), most of the voltage control devices and reactive power resources are manually control. Since the guidelines for controlling the primary and secondary voltage control are broad in nature, control actions could vary from one operator to another depending on experience, system information and knowledge. Tenaga Nasional Berhad (TNB) as system operator for MTS System believes that improvement in the approach and methods for voltage controls are desirable. This paper presents the newly developed hierarchical voltage control system called Adaptive and Automatic Closed-Loop Coordinated Voltage Control (A2 CLCVC) based system model as a possible solution for better voltage control within Malaysia Transmission System. The A2 CLCVC system model is basically a hierarchical voltage control approach that operates at three different voltage control levels which consists of Tertiary, Secondary and Primary voltage control modules. The A2 CLCVC based system model will be used to coordinate and optimize the voltage control operation in order to improve security, quality and economic of Malaysian Transmission System. To verify the A2 CLCVC model system performance, two new simulation methodologies based on PSS/E simulation software has been developed: 24-hours Load Flow Python-programming (24LFP-PSS/EM) and 24-hours dynamic simulation based method (24DS-PSS/EM). The two simulation methodologies results has shown that the proposed A2 CLCVC system can provide great benefits to TNB especially for better voltage control and power system operational. The comparative studies with the commercial automatic voltage control system have shown that the performance of A2 CLCVC system is much similar. © 2014 Praise Worthy Prize S.r.l. All rights reserved.
Wed, 01 Jan 2014 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92052014-01-01T00:00:00Z
- Under voltage load shedding scheme using meta-heuristic optimization methodshttp://dspace.uniten.edu.my/jspui/handle/123456789/9203Title: Under voltage load shedding scheme using meta-heuristic optimization methods
Authors: Verayiah, R.; Mohamed, A.; Shareef, H.; Abidin, I.Z.
Abstract: Load shedding has been extensively studied because of multiple power system failure occurrences worldwide. Reliable techniques are required to provide rapid and precise load shedding to avert voltage collapse in power networks. Meta-heuristic optimization approaches are currently the widely developed methods because of their robustness and flexibility in dealing with complex and non-linear systems. These methods include genetic algorithm, fuzzy logic control, particle swarm optimization, artificial neural network, ant colony optimization, big-bang big-crunch optimization, and many others. This study provides an overview of all the meta-heuristic methods implemented for under voltage load shedding in power systems. © 2014, Wydawnictwo SIGMA - N O T Sp. z o.o. All rights reserved.
Wed, 01 Jan 2014 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92032014-01-01T00:00:00Z
- Moving holidays' effects on the Malaysian peak daily loadhttp://dspace.uniten.edu.my/jspui/handle/123456789/9216Title: Moving holidays' effects on the Malaysian peak daily load
Authors: Razak, F.Abd.; Hashim, A.H.; Abidin, I.Z.; Shitan, M.
Abstract: Malaysia's yearly steady growth in electricity consumption as a result of fast development in various sectors of the Malaysian economy have increased the need to have a more robust, reliable and accurate load forecasting for short -, medium-, or long-term. A reliable method for short term load forecasting is crucial to any decision maker in a power utility company. Many studies have been made to improve the forecasting accuracy using various methods. The forecasting errors for the holiday seasons are known to be higher than those for weekends. This paper aims to determine which model would be a better model to estimate the holiday effects and therefore give a better forecasting accuracy for the peak daily load in Malaysia. Some of the holiday effects in Malaysia are from Eid ul-Fitr, Christmas, Independence Day and Chinese New Year. The seasonal ARIMA (SARIMA) and Dynamic Regression (DR) or Transfer function modelling are considered. Furthermore, the final selection of the models depends on the Mean Absolute Percentage Error (MAPE) and others such as the sample autocorrelation function (ACF), the sample partial autocorrelation function (PACF) and a bias-corrected version of the Akaike's information criterion (AICC) statistic. The Dynamic Regression (DR) model recorded 2.22% as the lowest MAPE value for the 2004 New Year's Eve and 2.39% for the seven days ahead forecasting. And therefore, DR model is the most appropriate model to be considered for forecasting any public holidays in Malaysia. ©2010 IEEE.
Fri, 01 Jan 2010 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92162010-01-01T00:00:00Z
- Modeling of secondary voltage regulation for 24-hour load flow and dynamic simulation for coordinated voltage control applicationhttp://dspace.uniten.edu.my/jspui/handle/123456789/9212Title: Modeling of secondary voltage regulation for 24-hour load flow and dynamic simulation for coordinated voltage control application
Authors: Abdullah, S.K.S.; Abidin, I.Z.; Musirin, I.; Nor, D.M.
Abstract: Effective and efficient management of voltage and reactive power devices is one of the most challenging tasks in power grid operation especially in a large power grid. A Coordinated Voltage Control (CVC) approach that consists of primary voltage control (PVR), secondary voltage control (SVR) and tertiary voltage control (TVR) is the most effective solutions for reactive power and voltage control. CVC refers to an approach in which secondary voltage control or regulations (SVR) is carried out automatically using a control system that would coordinate the various voltage control equipment to achieve a desired voltage at a pilot node in the system. There are various SVR model has been deployed by power utility for their CVC implementation. In Tenaga Nasional Berhad (TNB) power system, coordinated voltage control system is yet to be implemented, but improvement in the approach and methods to performing secondary voltage control are desirable since it could enhance system performance in terms of reliability and security as well as system losses. To demonstrate the capabilities of SVR within TNB grid system, a preliminary studies has been carried out, where new SVR dynamic model has been developed suitable for TNB CVC system implementation. Since voltage control is a real time activity that repeats itself on a daily basis, it was agreed that a more effective approach to study the process of SVR would be to perform simulations on a 24-hour basis where at defined times during the day the SVR would be applied. Two simulations approach has been carried: 24-hour load flow and 24-hour dynamic simulation, both implemented using PSS/E simulation software. From studies conducted, it is clear that implementation of SVR system can bring great potential and benefits to TNB in-term of system loss reduction, better voltage profile, and control and effective utilization of reactive power resources. © 2011 IEEE.
Sat, 01 Jan 2011 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92122011-01-01T00:00:00Z
- Contingency based congestion management and cost minimization using bee colony optimization techniquehttp://dspace.uniten.edu.my/jspui/handle/123456789/9215Title: Contingency based congestion management and cost minimization using bee colony optimization technique
Authors: Rahim, M.N.A.; Musirin, I.; Abidin, I.Z.; Othman, M.M.
Abstract: Unexpected contingency occurrence in a power system network can lead to high current flow in the system. This has made the system to be in a stressed condition which causes congestion to the system, while instability can be the next unpredictable incident. High current flow may also impose high fuel cost of the generators. Thus, congestion needs to be managed properly in order to reduce the undesired current flow in the transmission line for maintaining system security. This paper presents contingency based congestion management and cost minimization using bee colony optimization technique. In this study, bee colony optimization technique is applied to optimize the current flow in the system such that system security is preserved; considering transmission lines as the control variables. N-1 contingency is considered as the forecasted event, implemented offline so that the performance of the system can be evaluated. Cost minimization is also conducted by controlling the transmission constraints in the system. Validation through the IEEE 30-reliability test system and 6-Bus test system are conducted to simulate the scenarios. ©2010 IEEE.
Fri, 01 Jan 2010 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92152010-01-01T00:00:00Z
- 2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012 - Conference Proceedings: Forewordhttp://dspace.uniten.edu.my/jspui/handle/123456789/9211Title: 2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012 - Conference Proceedings: Foreword
Authors: Abidin, I.Z.
Abstract: Welcome to all participants of the 2012 IEEE International International Power Engineering and Optimization Conference (PEOCO 2012). I am very glad to know that this conference has received participants from many parts of the world. I hope this conference will provide a platform to the share knowledge and disseminate research findings among the delegates. © 2012 IEEE.
Sun, 01 Jan 2012 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/92112012-01-01T00:00:00Z