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Title: 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. 
Issue Date: 2018
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.
Appears in Collections:UNITEN Scholarly Publication

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