Improved niche genetic algorithm based parameter identification of excitation system considering parameter identifiability-Reference-Cited by-同舟云学术

Improved niche genetic algorithm based parameter identification of excitation system considering parameter identifiability

Author:

Liu Xingjie¹,Yan Liang¹,Liu Yadong²,Zhao Liquan²,Jie Jinxing²

Affiliation:

1. Department of Electric EngineeringNorth China Electric Power UniversityBaodingPeople's Republic of China

2. Electric Power Research Institute of State Grid Jilin Electric Power CO.,Ltd.ChangchunPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

Reference18 articles.

1. EngineersE.E. BoardI.S.: ‘IEEE recommended practice for excitation system models for power system stability studies’ 2006

2. Excitation system models suitable for studying power‐system stability;Fang S.;Proc. CSEE,1991

3. Nonlinear parameters identification for synchronous generator excitation systems;Shu H.;Autom. Electr. Power Syst.,2005

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