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• W2910055887 abstract "The DOCRs coordination increases in complexity as the interconnected electrical system increases. The difficult task to coordinate looped networks for the past years has been solved using various analytical and graphical methods which are considered to be the conventional solution approach. The task is very tedious and challenging with the possibility of making very drastic mistakes that can lead to undesired operations during normal or abnormal conditions of the system. Therefore, researchers have focused their efforts on trying to solve the problem using optimization techniques.Various optimization techniques have been recently explored to solve the complex DOCRs coordination on the large interconnected system. These optimization techniques have improved the operating time of the relays to such degree that the system can be more reliable, selective and more importantly secure. This research presents the formulation of a newly proposed optimizationtechnique, known as the Grey Wolf Optimizer, as an alternative to solve the DOCRs coordination using both its single and multi-objective function formulations proposed in the literature.The Grey Wolf Optimizer (GWO) has a unique exploration and exploitation process that makes the algorithm capable of escaping the local optimal solutions in its search for a global best. It does not require a large population as other similar algorithms, mainly the Genetic Algorithm (GA) which in turn, has a significant reduction in its execution time, especially when used on larger networks with an increased number of restrictions. The GWO implementation to solve the DOCRs coordination is very simple.The proposed GWO algorithm with both the single and multi-objective function approach is compared to the Genetic Algorithm to verify if they provide better results on both the IEEE-14 and IEEE-30 bus test network. The GWO algorithm with the single-objective approach does obtain better results when compared to both the benchmark GA and its multi-objective approach. As per the main objective of the research, GWO algorithm results provides relay settings that significantly reduces the operating time of the DOCRs for any given fault.Various tests are accomplished with both of the pproaches for the GWOalgorithm to determine if the inclusion of a genetically inspired operator named Specific Gene mutation or the replacement of the linear decrease characteristic ofits exploration and exploitation component improves the overall performance of the algorithm. The GWO single objective formulation did show significant results withthe mentioned improvements as oppose to the multi-objective approach resulting in an averaged reduction of the Network operating time and settings.The relays restricted settings are relaxed to verify if lower operating time is achievable as reported in the literature. The results are as expected althoughresulting on unpractical relay operating times. The introduction of the time-current characteristic curve as a third adjustable setting of the relays satisfactorily reduces the number of coordination pairs on both test networks with the GWO algorithm but did not helped in reducing the relays overall operating time. The objective function of the DOCRs coordination problem is extended to include both fault current levels scenarios which increased the optimization problem’s complexity and restrictions. The final result was positive, because the algorithm did perform well, and did prove to be a good alternative to solve the coordination problems. Three cases of coordination are presented to provide a general idea of how complex the coordination of DOCRs relay is in interconnected systems." @default.
• W2910055887 created "2019-01-25" @default.
• W2910055887 creator A5081741922 @default.
• W2910055887 date "2017-01-01" @default.
• W2910055887 modified "2023-09-27" @default.
• W2910055887 title "The study and evaluation of heuristic methods based on the natural imitation for the solution of the protection coordination problem." @default.
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