Adaptive multiple evolutionary algorithms search for multi-objective optimal reactive power dispatch-Reference-Cited by-同舟云学术

Adaptive multiple evolutionary algorithms search for multi-objective optimal reactive power dispatch

Published:2013-04-03 Issue:6 Volume:24 Page:780-795
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:Int. Trans. Electr. Energ. Syst.

Author:

Hongxin Li¹,Yinhong Li¹,Jinfu Chen¹

Affiliation:

1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, College of Electric and Electronic Engineering; Huazhong University of Science and Technology; West Building 9#, Luoyu Road 1037#, Hongshan District Wuhan City HuBei Province 430074 China

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Reference29 articles.

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3. Application of differential evolution algorithm for optimal location and parameters setting of UPFC considering power system security;Shaheen Husam;European Transactions on Electrical Power,2009

4. Multi-objective reactive power and voltage control based on fuzzy optimization strategy and fuzzy adaptive particle swarm;Zhang;International Journal of Electrical Power & Energy Systems,2008

5. Optimum VAR sizing and allocation using particle swarm optimization;EL-Dib Amgad;Electric Power Systems Research,2007

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