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- W4280496913 abstract "The optimal location and rating of distributed generators in the distribution network is important role in the incremental consumer load. Proposed research determines a novel approach for the optimal placement rating of distributed generators. To achieve the multi-objectives of expanded work is to minimize the power loss, reduce operating cost, and development of magnitude output voltage. At present, the objectives are achieved by using spider monkey optimization algorithm (SMOA). Design and prescribed optimization is considered various constraints such as voltage limit, dg (Distributed Generator), real power generation limit, current limit, and power equality constraint estimated. The losses sensitivity factor involves the best selection of the optimal locations to fix dg units. In this context proposes to determine the optimal rating of dg units based on the searching behavior of spider monkeys. IEEE (Institute of Electrical and Electronics Engineering) 33-bus, and IEEE 69-bus distribution systems with various load levels are tested the validation of presented method. The entire work is done by MATLAB/Simulink program, and the SMOA is also compared with familiar algorithms to show the efficiency for an optimal rating of the power system." @default.
- W4280496913 created "2022-05-22" @default.
- W4280496913 creator A5044507474 @default.
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- W4280496913 date "2022-07-21" @default.
- W4280496913 modified "2023-09-30" @default.
- W4280496913 title "Optimal rating and placing of numerous distributed generators in distribution network applying spider monkey optimization" @default.
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- W4280496913 doi "https://doi.org/10.3233/jifs-220210" @default.
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