A comparison between GSA and IGSA for optimal allocation and sizing of DG and impact to voltage stability margin in electrical distribution system

Optimal placement and sizing of Distributed Generation (DG) are essential for future power planning of distribution networks. The performance of Gravitational Search Algorithm (GSA) and an Improved version of Gravitational Search Algorithm (IGSA) are compared in solving the optimization problem. The...

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主要な著者: Khatib, Tamer, Bujal, Noor Ropidah, Sulaiman, Marizan, Abdul Kadir, Aida Fazliana, El Tawil, Naji Ammar Mansour
フォーマット: 論文
言語:English
出版事項: Korean Institute of Electrical Engineers 2021
オンライン・アクセス:http://eprints.utem.edu.my/id/eprint/25614/2/BUJAL2021.PDF
http://eprints.utem.edu.my/id/eprint/25614/
https://link.springer.com/article/10.1007/s42835-021-00829-y
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