Genetic Clustering-Based Equivalent Model of Wind Farm with Doubly Fed Induction Generator  

作　　者：CAI Zhenhua LI Canbing WU Qiuwei YANG Tongguang LI Zhenkai 蔡振华;黎灿兵;吴秋伟;阳同光;李振恺

机构地区：[1]College of Electrical and Information Engineering,Hunan University,Changsha 410082,China [2]Key Laboratory Energy Monitoring and Edge Computing of Smart City,Hunan City University,Yiyang 413000,Hunan,China [3]School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China [4]Center for Electric Power and Energy,Department of Electrical Engineering,Technical University of Denmark,Kgs.Lyngby 2800,Denmark

出　　处：《Journal of Shanghai Jiaotong university(Science)》2025年第2期300-308,共9页上海交通大学学报(英文版)

基　　金：the National Key R&D Program of China(No.2019YFE0114700);the Key R&D Program in Hunan Province of China(No.2021GK2020);the Natural Science Foundation of Hunan Province of China(No.2021JJ30079);the Project of Philosophy and Social Science Research in Yiyang City(No.2022YS191)。

摘　　要：With increasing the number of wind power generators,the consumption time of electromagnetic simulation of the wind farm explodes.To reduce the simulation time while meeting the accuracy requirement,a genetic clustering-based equivalent model is proposed for the wind farm with numerous doubly fed induction generators.In the proposed model,active power together with the reactive power and the wind speed are selected to form the set of clustering indicators.A normalization technique is utilized to cope with the multiple orders of magnitude in these factors.An exponential fitness value is formulated as a function of the sorting number of the primary fitness value,and the fitness-based selection probability is constructed to overcome the property of premature and slow convergence of the genetic clustering algorithm.The sum of squares due to error is used to determine the optimal clustering number.In addition,a decoupled parameter equivalence method is adopted to obtain the equivalent parameters of the collection network.Simulation results and comparisons with various methods under different voltage scenarios show the feasibility and effectiveness of the proposed model.

关 键 词：electromagnetic simulation genetic clustering-based equivalent model doubly fed induction gener-ators sum of squares due to error collection network 

分 类 号：TM89[电气工程—高电压与绝缘技术]