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

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

In order to obtain the parameters of excitation system accurately, and improve the accuracy and efficiency of parameter identification much further, an improved niche genetic algorithm was adopted, which can overcome local convergence of genetic algorithm by the fitness sharing mechanism that could...

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Bibliographic Details
Main Authors: Xingjie Liu, Liang Yan, Yadong Liu, Liquan Zhao, Jinxing Jie
Format: Article
Language:English
Published: Wiley 2018-10-01
Series:The Journal of Engineering
Subjects:
convergence
genetic algorithms
power system identification
fuzzy set theory
pattern clustering
partial parameters
excitation system model
identifiability analysis
improved niche genetic algorithm based parameter identification
parameter identifiability
fitness sharing mechanism
fuzzy clustering
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8816

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https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8816

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