Dynamic exploitation Gaussian bare‐bones bat algorithm for optimal reactive power dispatch to improve the safety and stability of power system-Reference-Cited by-同舟云学术

Dynamic exploitation Gaussian bare‐bones bat algorithm for optimal reactive power dispatch to improve the safety and stability of power system

Published:2022-02-24 Issue:7 Volume:16 Page:1401-1424
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Gen

Author:

Qu Zhaoyang¹²,Dong Yunchang¹^ORCID,Mugemanyi Sylvère¹,Yu Tong³,Bo Xiaoyong¹^ORCID,Li Huashun⁴,Li Yang¹^ORCID,Rugema François Xavier¹,Bananeza Christophe⁵

Affiliation:

1. School of Electrical Engineering Northeast Electric Power University Jilin China

2. Jilin Engineering Technology Research Center of Intelligent Electric Power Big Data Processing Jilin China

3. Guangxi Power Grid Co., Ltd. Electric Power Research Institute Nanning China

4. State Grid Jilin Electric Power Co., Ltd. Jilin Power Supply Company Jilin China

5. School of Energy and Electrical Engineering Hohai University Nanjing China

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/rpg2.12428

Reference117 articles.

1. Optimal reactive power dispatch using hybrid Nelder–Mead simplex based firefly algorithm

2. A new hybrid algorithm for optimal reactive power dispatch problem with discrete and continuous control variables

3. A novel fuzzy adaptive configuration of particle swarm optimization to solve large-scale optimal reactive power dispatch

4. Efficient constraint handling for optimal reactive power dispatch problems

5. Exchange market algorithm based optimum reactive power dispatch

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