典型文献
Parameter Identification for Static Var Compensator Model Using Sensitivity Analysis and Improved Whale Optimization Algorithm
文献摘要：
A parameter estimation method based on an im-proved Whale Optimization Algorithm is proposed in this paper to identify the parameters of a static var compensator(SVC)model.First,a mathematical model of SVC is established.Then,the reverse learning strategy and Levy flight disturbance strategy are introduced to improve the whale optimization algorithm,and the improved whale optimization algorithm is applied to the parameter identification of the static var compensator model.Finally,a stepwise identification method,by analyzing the local sensitivities of parameters,is proposed which solves the prob-lem of low accuracy caused by multi-parameter identification.This method provides a new estimation strategy for accurately identifying the parameters of the static var compensator model.Estimation results show that the parameter estimation method can be an effective tool to solve the problem of parameter identification for the SVC model.
文献关键词：
中图分类号：
作者姓名：
Qiang Guo;Lei Gao;Xiaojie Chu;Huadong Sun
作者机构：
China Electric Power Research Institute,Beijing 100192,China
文献出处：
引用格式：
[1]Qiang Guo;Lei Gao;Xiaojie Chu;Huadong Sun-.Parameter Identification for Static Var Compensator Model Using Sensitivity Analysis and Improved Whale Optimization Algorithm)[J].中国电机工程学会电力与能源系统学报（英文版）,2022(02):535-547
A类：
Compensator
B类：
Parameter,Identification,Static,Var,Model,Using,Sensitivity,Analysis,Improved,Whale,Optimization,Algorithm,estimation,method,proposed,this,paper,parameters,static,var,compensator,SVC,model,First,mathematical,established,Then,reverse,learning,strategy,Levy,flight,disturbance,are,introduced,whale,optimization,algorithm,improved,applied,identification,Finally,stepwise,by,analyzing,local,sensitivities,which,solves,low,accuracy,caused,multi,This,provides,new,accurately,identifying,Estimation,results,show,that,can,be,effective,tool,problem
AB值：
0.501928
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