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...
保存先:
主要な著者: | , , , , |
---|---|
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 |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|