Optimization of DFIG Comprehensive Adaptive Frequency Regulation Parameters Based on Extreme Learning Machine

Optimization of DFIG Comprehensive Adaptive Frequency Regulation Parameters Based on Extreme Learning Machine

Aiming at the problem of insufficient system frequency regulation ability caused by wind turbines connected to the grid, doubly fed induction generators (DFIG) mostly use virtual inertia and droop control to participate the frequency regualtion of the power system. However, traditional control strat...

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Bibliographic Details
Main Author: JIN Haochun, GE Minhui, XU Bo
Format: Article
Language:zho
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2021-12-01
Series:Shanghai Jiaotong Daxue xuebao
Subjects:
doubly fed induction generator (dfig)
extreme learning machine
integrated adaptive control
frequency dynamic response
Online Access:http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-S2-42.shtml

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