DSpaceCRIS@UNITENhttp://dspace.uniten.edu.my/jspuiThe DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material.Tue, 22 Oct 2019 06:41:25 GMT2019-10-22T06:41:25Z50211- PHEV charging strategy via user preferences and its impacts on power system networkhttp://dspace.uniten.edu.my/jspui/handle/123456789/7647Title: PHEV charging strategy via user preferences and its impacts on power system network
Authors: Ahmad, M.R.; Musirin, I.; Othman, M.M.; Rahmat, N.A.
Abstract: Uncontrolled PHEVs charging will cause severe impacts on a power system network, especially on the distribution system; i.e. feeders, cables and transformers overload hence shortened its life. In this paper, PHEV charging strategy namely SOC-based charging has been proposed. This charging strategy focused on user needs, i.e. full charged the battery within plugged-in time frame considering maximum charging rate from the standard outlet. Moreover, it will reduce the peak loads as well as improving the load factor on a power system network. Real vehicle travel data from National Household Travel Survey (NHTS) is used to represent PHEV types, miles driven and its final arriving times. This proposed technique also comprehensively used to present the impact of charging PHEV on power system networks considering PHEV battery sizes and maximum charging levels. Vehicles Charging Load Profile (VCLP) is developed and implemented in IEEE 30-bus test system that represents a portion of American Electric Power System (Midwestern US). Normalization technique is used to represent real time loads of IEEE 30-bus test system. Comparative study has been performed with respect to uncontrolled charging technique. Results indicated that the proposed charging strategy not only achieved the required battery capacity but also has improved peak load and load factor thus reduces impacts on power system networks. © 2014 IEEE.
Wed, 01 Jan 2014 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/76472014-01-01T00:00:00Z
- Solving multi-pollutant emission dispatch problem using computational intelligence techniquehttp://dspace.uniten.edu.my/jspui/handle/123456789/7646Title: Solving multi-pollutant emission dispatch problem using computational intelligence technique
Authors: Rahmat, N.A.; Musirin, I.; Abidin, A.F.
Abstract: Economic dispatch is a crucial process conducted by the utilities to correctly determine the satisfying amount of power to be generated and distributed to the consumers. During the process, the utilities also consider pollutant emission as the consequences of fossil-fuel consumption. Fossil-fuel includes petroleum, coal, and natural gas; each has its unique chemical composition of pollutants i.e. sulphur oxides (SOX), nitrogen oxides (NOX) and carbon oxides (COX). This paper presents multi-pollutant emission dispatch problem using computational intelligence technique. In this study, a novel emission dispatch technique is formulated to determine the amount of the pollutant level. It utilizes a pre-developed optimization technique termed as differential evolution immunized ant colony optimization (DEIANT) for the emission dispatch problem. The optimization results indicated high level of COX level, regardless of any type of fossil fuel consumed. Copyright. © JES 2016.
Fri, 01 Jan 2016 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/76462016-01-01T00:00:00Z
- Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique in solving economic emission dispatchhttp://dspace.uniten.edu.my/jspui/handle/123456789/7652Title: Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique in solving economic emission dispatch
Authors: Rahmat, N.A.; Musirin, I.; Abidin, A.F.
Abstract: Emission dispatch is a topic that discusses on the discharge of polluting substance by fossil-fuelled generators. The arising concerns towards environmental quality arouse new trend in power flow studies. Emission dispatch has become a vital consideration during load dispatch scheduling and the power utilities are urged to reduce the pollutant volume to the least. Numerous approaches have been employed to solve emission dispatch. This research highlights the implementation of Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique in solving economic emission dispatch. DEIANT algorithm was compared with several approaches including the conventional method, PSO, and ACO algorithm in order to verify the performance of the algorithm. To apprehend the effectiveness of the new algorithm, IEEE 30-Bus Reliable Test System (RTS) was utilized as the sample. The obtained results revealed that DEIANT is more superior to the traditional method, PSO, and ACO, and effectively minimize the emission level. © 2013 IEEE.
Tue, 01 Jan 2013 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/76522013-01-01T00:00:00Z
- Solving fuzzy combined-emission dispatch by using differential evolution immunized Ant Colony Optimization techniquehttp://dspace.uniten.edu.my/jspui/handle/123456789/7656Title: Solving fuzzy combined-emission dispatch by using differential evolution immunized Ant Colony Optimization technique
Authors: Rahmat, N.A.; Musirin, I.; Abidin, A.F.; Jumaat, S.A.; Wan Abdul Munim, W.N.
Abstract: Emission dispatch deals with the process of determining the emission level produced by thermal power plants. Since the concerns toward environmental health paramount, emission dispatch has become a crucial consideration during energy dispatch planning. Different fuel types produce different types of pollutant and thus the total emission level may vary. However, the fluctuation of future load demand and fuel cost causes emission dispatch problems in dynamic system. Therefore, this paper proposes the implementation of fuzzy logic in solving the combined emission dispatch and termed as Fuzzy Combined-Emission Dispatch (FCED). A newly developed optimization technique termed as Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique is employed to optimize FCED. DEIANT is compared with Evolutionary Programming (EP) and Ant Colony Optimization (ACO) techniques in order to evaluate its performance. Results indicate that the proposed FCED technique outperformed EP and PSO in terms of achieving lower minimal emission level and reduce operating cost. © 2013 IEEE.
Tue, 01 Jan 2013 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/76562013-01-01T00:00:00Z
- Fuzzy unit commitment for cost minimization in power system planninghttp://dspace.uniten.edu.my/jspui/handle/123456789/7653Title: Fuzzy unit commitment for cost minimization in power system planning
Authors: Rahmat, N.A.; Musirin, I.; Abidin, A.F.
Abstract: Unit commitment is among of the key elements in power system planning. Unit commitment is extensively applied by the power utilities to plan the optimal dispatch of generating units in the system. In the deregulated power system industry, it is important to consider several uncertainty constraints during the planning process. This research proposes the application of fuzzy set modeling to determine the uncertainty constraints. Several intelligence techniques including Particle Swarm Optimization, Ant Colony Optimization, and Differential Evolution Immunized Ant Colony Optimization approaches have been used to optimize the fuzzy unit commitment problem. The verification process was performed on IEEE 30-Bus Reliable Test System (RTS). Comparative studies among PSO, ACO and DEIANT indicate the superiority of DEIANT in solving the fuzzy unit commitment problem. © 2013 IEEE.
Tue, 01 Jan 2013 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/76532013-01-01T00:00:00Z
- Developed cluster of SVC installation in power system network via hybrid meta-heuristic methodhttp://dspace.uniten.edu.my/jspui/handle/123456789/7655Title: Developed cluster of SVC installation in power system network via hybrid meta-heuristic method
Authors: Jumaat, S.A.; Musirin, I.; Othman, M.M.; Mokhlis, H.; Rahmat, N.A.
Abstract: This paper introduces a new approach of meta-heuristic based method for clustering the optimal location of SVC installation in power system. The algorithm is based on evolutionary particle swarm optimization (EPSO) technique with the objective to minimize the transmission loss in power system. With the formation of cluster decision can be made by power system operators to perform power compensation scheme considering selected loading conditions and loaded buses. Experiments were performed on the IEEE 30-bus RTS to realize the effectiveness of the proposed method. Comparison with respect to conventional PSO was conducted which eventually resulted superiority in terms of loss minimization. © 2013 IEEE.
Tue, 01 Jan 2013 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/76552013-01-01T00:00:00Z
- Economic load dispatch with valve-point loading effect by using differential evolution immunized ant colony optimization techniquehttp://dspace.uniten.edu.my/jspui/handle/123456789/7650Title: Economic load dispatch with valve-point loading effect by using differential evolution immunized ant colony optimization technique
Authors: Rahmat, N.A.; Musirin, I.; Abidin, A.F.; Ahmad, M.R.
Abstract: Economic load dispatch is conducted by the utilities in order to determine the best generation level at the most feasible operating cost. In order to guarantee satisfying energy delivery to the consumer, a precise calculation of generation level is required. In order to achieve accurate and practical solution, several considerations such as prohibited operating zones, valve-point effect and ramp-rate limit need to be taken into account. However, these considerations cause the optimization to become complex and difficult to solve. This research focuses on the valve-point effect that causes ripple in the fuel-cost curve. This paper also proposes Differential Evolution Immunized Ant Colony Optimization (DEIANT) in solving economic load dispatch problem with valve-point effect. Comparative studies involving DEIANT, EP and ACO are conducted on IEEE 30-Bus RTS for performance assessments. Results indicate that DEIANT is superior to the other compared methods in terms of calculating lower operating cost and power loss. © 2014 ACPE.
Wed, 01 Jan 2014 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/76502014-01-01T00:00:00Z
- Differential Evolution Immunized Ant Colony Optimization Technique (DEIANT) in solving economic dispatch by considering prohibited operating zoneshttp://dspace.uniten.edu.my/jspui/handle/123456789/7648Title: Differential Evolution Immunized Ant Colony Optimization Technique (DEIANT) in solving economic dispatch by considering prohibited operating zones
Authors: Rahmat, N.A.; Musirin, I.; Abidin, A.F.
Abstract: In energy industry, generating the correct amount of electrical power is crucial. Economic load dispatch is used to compute the necessary amount of power among the generators. However, each generator in a system is limited by its physical properties that will limit its maximum potential. This prohibited zone divides the actual operation limits of a particular generator into several subdivisions. This paper proposes Differential Evolution Immunized Ant Colony Optimization (DEAINT) technique in solving economic dispatch by considering prohibited operating zones. The optimization process was conducted on IEEE 30-Bus Reliable Test System (RTS). Verification of DEIANT technique was performed by comparing it with Evolutionary Programming (EP) and Ant Colony Optimization (ACO) technique. The comparative studies indicate that DEIANT outperformed EP and ACO in terms of achieving lower operating cost and power loss. © 2014 IEEE.
Wed, 01 Jan 2014 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/76482014-01-01T00:00:00Z
- Differential Evolution Ant Colony Optimization (DEACO) technique in solving economic load dispatch problemhttp://dspace.uniten.edu.my/jspui/handle/123456789/7658Title: Differential Evolution Ant Colony Optimization (DEACO) technique in solving economic load dispatch problem
Authors: Rahmat, N.A.; Musirin, I.
Abstract: Electric utilities are the companies responsible for ensuring energy supply meets their customers' requirement. While ensuring the energy is generated in the right amount, they have to guarantee that the energy is generated within feasible cost. Economic Load Dispatch (ELD) problem involves the scheduling of generating unit outputs that can satisfy load demand at minimum operating cost. Several approaches have been applied to yield the best solution for the problem, such as Genetic Algorithm, Bees Algorithm and Neural Network Algorithm. This paper presents Differential Evolution Ant Colony Optimization (DEACO) to optimize Economic Load Dispatch in power system. Implementation of the IEEE Reliability Test System (RTS) demonstrated that this technique is feasible to crack the economic problem. Comparative studies with respect to ACO and the traditional ELD techniques designate that the proposed DEACO outperformed these two techniques. © 2012 IEEE.
Sun, 01 Jan 2012 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/76582012-01-01T00:00:00Z
- Effect of ant parameters on DEACO in economic load dispatch problemhttp://dspace.uniten.edu.my/jspui/handle/123456789/7657Title: Effect of ant parameters on DEACO in economic load dispatch problem
Authors: Rahmat, N.A.; Musirin, I.; Othman, Z.
Abstract: A distinctive optimization technique known as Ant Colony Optimization (ACO) has gained huge popularity in these recent years. This algorithm has turned into a candidate approach to many optimization problems. Unfortunately, this attractive algorithm suffers several drawbacks, including stagnation and slow convergence toward optimal solution. Thus, a new algorithm, termed as Differential Evolution Ant Colony Optimization (DEACO) has been modeled to compensate the drawbacks. The algorithm was utilized to solve the economic load dispatch problem in order to verify its performance. In this study, several DEACO parameters, including the number of ants and nodes were manipulated to investigate the behavior of the brand-new algorithm. Comparative studies between DEACO and conventional ACO suggested that the new algorithm had successfully overcome the weaknesses of classical ACO. © 2012 IEEE.
Sun, 01 Jan 2012 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/76572012-01-01T00:00:00Z
- Hybrid differential evolution-Ant Colony Optimization for economic load dispatch problemhttp://dspace.uniten.edu.my/jspui/handle/123456789/7654Title: Hybrid differential evolution-Ant Colony Optimization for economic load dispatch problem
Authors: Rahmat, N.A.; Musirin, I.
Abstract: A distinctive optimization technique known as Ant Colony Optimization (ACO) has gained huge popularity in these recent years due to its flexibility and the ability to avoid reaching local optima. This optimization approach has become a candidate approach for many optimization problems. Unfortunately, this attractive algorithm suffers several downsides including stagnation and slow convergence toward optimal solution. Thus, a new algorithm, termed as Differential Evolution Ant Colony Optimization (DEACO) has been modelled to compensate the drawbacks. The algorithm was utilized to solve economic load dispatch problem in order to verify its performance. Economic Load Dispatch (ELD) problem concerns the planning of generators outputs that can meet load demand at minimum operating cost. Moreover, in this research, several ant parameters, including number of ants and nodes were manipulated to investigate the behaviour of DEACO algorithm. Comparative studies between DEACO and conventional ACO suggested that the new algorithm has successfully overcome the weaknesses of classical ACO. © 2005 - 2013 JATIT & LLS. All rights reserved.
Tue, 01 Jan 2013 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/76542013-01-01T00:00:00Z
- An accurate medium-term load forecasting based on hybrid techniquehttp://dspace.uniten.edu.my/jspui/handle/123456789/10555Title: An accurate medium-term load forecasting based on hybrid technique
Authors: Yasin, Z.M.; Aziz, N.F.A.; Salim, N.A.; Wahab, N.A.; Rahmat, N.A.
Abstract: An accurate medium term load forecasting is significant for power generation scheduling, economic and reliable operation in power system. Most of classical approach for medium term load forecasting only consider total daily load demand. This approach may not provide accurate results since the load demand is fluctuated in a day. In this paper, a hybrid Ant-Lion Optimizer Least-square Support Vector Machine (ALO-LSSVM) is proposed to forecast 24-hour load demand for the next year. Ant-Lion Optimizer (ALO) is utilized to optimize the RBF Kernel parameters in Least-Square Support Vector Machine (LS-SVM). The objective of the optimization is to minimize the Mean Absolute Percentage Error (MAPE). The performance of ALO-LSSVM technique was compared with those obtained from LS-SVM technique through a 10-fold cross-validation procedure. The historical hourly load data are analyzed and appropriate features are selected for the model. There are 24 inputs and 24 outputs vectors for this model which represents 24-hour load demand for whole year. The results revealed that the high accuracy of prediction could be achieved using ALO-LSSVM. © 2018 Institute of Advanced Engineering and Science All rights reserved.
Mon, 01 Jan 2018 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/105552018-01-01T00:00:00Z
- Bandpass filter based on ring resonator at RF frequency above 20 GHzhttp://dspace.uniten.edu.my/jspui/handle/123456789/11186Title: Bandpass filter based on ring resonator at RF frequency above 20 GHz
Authors: Ab. Wahab, N.; Amiruddin, A.; Radzuan, R.; Yasin, Z.M.; Salim, N.A.; Rahmat, N.A.; Aziz, N.F.A.
Abstract: This paper presents two dual-mode rectangular ring resonators, designed at RF frequency above 20 GHz for bandpass filter applications. The first resonator is designed at 20 GHz using single layer microstrip technology, on Rogers Duroid TMM10 substrate with the following characteristics; relative dielectric constant (εr) = 9.2, substrate thickness (h) = 1.270 mm, dielectric loss tangent (tan δ) = 0. The second resonator is built using multilayer CMOS technology at 75 GHz. The resonator is simulated using fluorinated silicon glass (FSG) and silicone rich oxide (SRO) with relative dielectric constant (εr) equals to 3.7 and 4.2 respectively. Both filter designs are built using full-wave electromagnetic simulation tool. For filter design using microstrip technology, the return loss is found at 9.999 dB and the insertion loss is at 3.108 dB while for filter design using CMOS technology, the return loss is found at 11.299 dB and the insertion loss at 0.335 dB. Both results had shown good passband performance with high rejection level at the out-of band. © 2018 Institute of Advanced Engineering and Science. All rights reserved.
Mon, 01 Jan 2018 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/111862018-01-01T00:00:00Z
- Implementation of GUI in the determination of critical clearing angle using the OMIB and equal area criterionhttp://dspace.uniten.edu.my/jspui/handle/123456789/11557Title: Implementation of GUI in the determination of critical clearing angle using the OMIB and equal area criterion
Authors: Salim, N.A.; Abd Samat, A.A.; Othman, M.M.; Mohamad, H.; Ab Aziz, N.F.; Rahmat, N.A.
Abstract: This paper presents the transient stability analysis (TSA) in a power system based on one machine infinite bus (OMIB) and equal area criterion (EAC) method. A typical power system network consists of numerous components such as generators, transformers, interconnected lines and loads. Due to the enormous number of electrical components in a power system, it is difficult to perform the TSA for the entire network. Therefore, this research proposes a TSA by using one machine infinite bus (OMIB) technique. The main purpose to use OMIB is due to the fact that it could minimize the multi-machine in the network by facilitate the original large-scale system to dynamic equivalent model. The propose technique classify the multi-machine system into two groups which are: critical machines and non-critical machines, which is then reduced to only one machine infinite bus system (OMIB). This paper also presents the analysis of critical clearing angle (CCA) where it is the maximum change in the load angle curve before clearing the fault without loss of generator synchronism. Three phase fault conditions which are; prefault, during fault and post-fault conditions are used in the transmission line via the equal area criterion (EAC) method. This method could identify whether the condition may cause to system instability if there is a sudden load increase to the system. The main objective to perform CCA analysis is to identify the value of rotor angle that is important and could be set as a benchmark to the protection relay in order to maintain the transient stability during fault condition. This paper also proposes a monitoring mechanism by using graphical user interface (GUI) to monitor the CCA at different system loading condition. The IEEE RTS-79 is used to validate the robustness of the proposed methodology in determining the CCA. © JES 2018.
Mon, 01 Jan 2018 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/115572018-01-01T00:00:00Z
- Bandpass filter based on ring resonator at RF frequency above 20 GHzhttp://dspace.uniten.edu.my/jspui/handle/123456789/10466Title: Bandpass filter based on ring resonator at RF frequency above 20 GHz
Authors: Ab. Wahab, N.; Amiruddin, A.; Radzuan, R.; Yasin, Z.M.; Salim, N.A.; Rahmat, N.A.; Aziz, N.F.A.
Abstract: This paper presents two dual-mode rectangular ring resonators, designed at RF frequency above 20 GHz for bandpass filter applications. The first resonator is designed at 20 GHz using single layer microstrip technology, on Rogers Duroid TMM10 substrate with the following characteristics; relative dielectric constant (εr) = 9.2, substrate thickness (h) = 1.270 mm, dielectric loss tangent (tan δ) = 0. The second resonator is built using multilayer CMOS technology at 75 GHz. The resonator is simulated using fluorinated silicon glass (FSG) and silicone rich oxide (SRO) with relative dielectric constant (εr) equals to 3.7 and 4.2 respectively. Both filter designs are built using full-wave electromagnetic simulation tool. For filter design using microstrip technology, the return loss is found at 9.999 dB and the insertion loss is at 3.108 dB while for filter design using CMOS technology, the return loss is found at 11.299 dB and the insertion loss at 0.335 dB. Both results had shown good passband performance with high rejection level at the out-of band. © 2018 Institute of Advanced Engineering and Science. All rights reserved.
Mon, 01 Jan 2018 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/104662018-01-01T00:00:00Z
- Implementation of GUI in the determination of critical clearing angle using the OMIB and equal area criterionhttp://dspace.uniten.edu.my/jspui/handle/123456789/10613Title: Implementation of GUI in the determination of critical clearing angle using the OMIB and equal area criterion
Authors: Salim, N.A.; Abd Samat, A.A.; Othman, M.M.; Mohamad, H.; Ab Aziz, N.F.; Rahmat, N.A.
Abstract: This paper presents the transient stability analysis (TSA) in a power system based on one machine infinite bus (OMIB) and equal area criterion (EAC) method. A typical power system network consists of numerous components such as generators, transformers, interconnected lines and loads. Due to the enormous number of electrical components in a power system, it is difficult to perform the TSA for the entire network. Therefore, this research proposes a TSA by using one machine infinite bus (OMIB) technique. The main purpose to use OMIB is due to the fact that it could minimize the multi-machine in the network by facilitate the original large-scale system to dynamic equivalent model. The propose technique classify the multi-machine system into two groups which are: critical machines and non-critical machines, which is then reduced to only one machine infinite bus system (OMIB). This paper also presents the analysis of critical clearing angle (CCA) where it is the maximum change in the load angle curve before clearing the fault without loss of generator synchronism. Three phase fault conditions which are; prefault, during fault and post-fault conditions are used in the transmission line via the equal area criterion (EAC) method. This method could identify whether the condition may cause to system instability if there is a sudden load increase to the system. The main objective to perform CCA analysis is to identify the value of rotor angle that is important and could be set as a benchmark to the protection relay in order to maintain the transient stability during fault condition. This paper also proposes a monitoring mechanism by using graphical user interface (GUI) to monitor the CCA at different system loading condition. The IEEE RTS-79 is used to validate the robustness of the proposed methodology in determining the CCA. © JES 2018.
Mon, 01 Jan 2018 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/106132018-01-01T00:00:00Z
- Optimal economic load dispatch using multiobjective cuckoo search algorithmhttp://dspace.uniten.edu.my/jspui/handle/123456789/10708Title: Optimal economic load dispatch using multiobjective cuckoo search algorithm
Authors: Yasin, Z.M.; Aziz, N.F.A.; Salim, N.A.; Wahab, N.A.; Rahmat, N.A.
Abstract: In this paper, Multiobjective Cuckoo Search Algorithm (MOCSA) is developed to solve Economic Load Dispatch (ELD) problem. The main goal of the ELD is to meet the load demand at minimum operating cost by determining the output of the committed generating unit while satisfying system equality and inequality constraints. The problem formulation is based on a multiobjective model in which the multiobjective are defined as fuel cost minimization and carbon emission minimization. MOCSA is based on the inspiration from the brooding parasitism of cuckoo species in nature. Three cases are considered to test the effectiveness of the proposed technique which are fuel cost minimization, carbon emission minimization and multiobjective function with fixed weighted sum. The effectiveness of the MOCSA’s performances are illustrated through comparative study with other techniques such as Multiobjective Genetic Algorithm (MOGA) and Multiobjective Particle Swarm Optimization (MOPSO) in terms of fitness functions. The proposed study was conducted on three generating unit system at various loading condition. The result proved that MOCSA provide better solution in minimizing fuel cost and carbon emission usage as compared to other techniques. © 2018 Institute of Advanced Engineering and Science All rights reserved.
Mon, 01 Jan 2018 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/107082018-01-01T00:00:00Z
- A new weak area identification method in power system based on voltage stabilityhttp://dspace.uniten.edu.my/jspui/handle/123456789/7645Title: A new weak area identification method in power system based on voltage stability
Authors: Aziz, N.F.A.; Rahmat, N.A.; Muhammad-Sukki, F.; Rahman, T.K.A.; Yasin, Z.M.; Wahab, N.A.; Salim, N.A.
Abstract: Identification of voltage stability weak area in power system plays an important role in preventing the occurrence of voltage collapse. A fast and accurate identification method helps power system operators to apply voltage stability control action on the weak area and thus avoids voltage collapse. This paper presents a new technique for weak area identification in a power system based on voltage stability named as Weak Area Indicator (WAI). WAI is derived from a newly developed voltage stability index, Voltage Stability Condition Indicator (VSCI). For verification purpose, the proposed WAI was tested with the existing method in the literature that used voltage stability variation method to detect weak area. Test results show that the proposed WAI is able to cluster weak areas correctly. All methods were tested on IEEE 30-bus and IEEE 118-bus test system.
Sun, 01 Jan 2017 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/76452017-01-01T00:00:00Z
- Optimizing economic load dispatch with renewable energy sources via differential Evolution Immunized Ant Colony Optimization techniquehttp://dspace.uniten.edu.my/jspui/handle/123456789/11376Title: Optimizing economic load dispatch with renewable energy sources via differential Evolution Immunized Ant Colony Optimization technique
Authors: Rahmat, N.A.; Aziz, N.F.A.; Mansor, M.H.; Musirin, I.
Abstract: Recently, renewable energy (RE) has become a trend in power generation. It is slowly evolving from an alternative energy source into the main energy source. The technology is currently working as an auxiliary to the existing generators. Demands for electricity is expanding rapidly nowadays, which require generators to run near its operation limit. This activity put grieve risk to the generators. Nonetheless, the extensive analysis should be conducted upon RE integration into the existing power system. This paper assesses its economic impact on the power system. Setting up RE technology such as photovoltaic and wind turbine are costly, yet may reduce generator's fuel cost in the long run. Thus, economic load dispatch (ELD) is conducted to compute the operating cost of power system with the integration of RE system. In this study, the operating cost represents the fuel cost of conventional fossil-fuel generators. Furthermore, a novel optimization technique namely Differential Evolution Immunized Ant Colony Optimization is proposed as the optimization engine. Comparative studies are conducted to assess the performance of the proposed approach.
Sun, 01 Jan 2017 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/113762017-01-01T00:00:00Z
- Economic dispatch of generators with valve-point loading effect using immune evolutionary programminghttp://dspace.uniten.edu.my/jspui/handle/123456789/11489Title: Economic dispatch of generators with valve-point loading effect using immune evolutionary programming
Authors: Mohammad, S.H.; Mansor, M.H.; Musirin, I.; Abdullah, M.N.; Shaaya, S.A.; Rahmat, N.A.; Rahman, M.S.A.; Razali, N.S.
Abstract: Economic dispatch is conducted by electric utilities in order to determine the best generation level at the most feasible operating cost. In order to guarantee satisfying energy delivery to the consumer, a precise calculation of generation level is required. In order to achieve accurate and practical solution, several considerations such as prohibited operating zones, valve-point loading effect and ramp-rate limit need to be taken into account. However, these considerations cause the optimization to become complex and difficult to solve. This research focuses on the valve-point effect that causes ripple in the fuel-cost curve. This paper also proposes a hybrid technique named as Immune Evolutionary Programming (IEP) in solving economic load dispatch problem with valve-point loading effect. Comparative studies involving IEP, EP and AIS are conducted on IEEE l4-Bus RTS for performance assessments. Results found in this research indicate that IEP is superior to Evolutionary Programming (EP) and Artificial Immune System (AIS) techniques in terms of calculating lower operating cost and total system loss. © 2018 Author(s).
Mon, 01 Jan 2018 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/114892018-01-01T00:00:00Z
- A hybrid optimization technique for solving economic dispatch problemhttp://dspace.uniten.edu.my/jspui/handle/123456789/11575Title: A hybrid optimization technique for solving economic dispatch problem
Authors: Mansor, M.H.; Raja Kechek, R.M.S.; Musirin, I.; Rahmat, N.A.; Rahman, M.S.A.; Roslan, N.; Abdullah, M.N.; Shaaya, S.A.; Aziz, N.F.A.
Abstract: Economic dispatch (ED) is one the main power system problems solved during operational planning phase. It is solved by power system engineers with the objective to find the best setting of dispatchable generating units output so that the total production cost is cheap and at the same time abiding the system constraints. For the past ten years, researchers and engineers have been focusing on hybrid optimization techniques to solve ED problems. The strength of each hybridized technique is combined to form an improved optimization technique. Most of the hybrid techniques are combination of two or more meta-heuristic techniques. This paper proposed a new hybrid technique termed as immune evolutionary programming (IEP) to solve economic dispatch problem. The technique is a combination of two population based optimization techniques which are artificial immune system (AIS) and evolutionary programming (EP). In order to study the effectiveness of the proposed technique, the results produced have been compared with the results produced using AIS and EP techniques. It is found that IEP succeeded to give the lowest total production cost compared to the other two techniques. © Published under licence by IOP Publishing Ltd.
Mon, 01 Jan 2018 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/115752018-01-01T00:00:00Z