| 注册
首页|期刊导航|全球能源互联网(英文)|基于ADMM的风场两级分布式无功优化方法

基于ADMM的风场两级分布式无功优化方法

Zhenming Li Zhao Xu Yawen Xie Donglian Qi Jianliang Zhang

全球能源互联网(英文)2021,Vol.4Issue(3):251-260,10.
全球能源互联网(英文)2021,Vol.4Issue(3):251-260,10.DOI:10.14171/j.2096-5117.gei.2021.03.003

基于ADMM的风场两级分布式无功优化方法

Two-stage ADMM-based distributed optimal reactive power control method for wind farms considering wake effects

Zhenming Li 1Zhao Xu 2Yawen Xie 1Donglian Qi 3Jianliang Zhang2

作者信息

  • 1. Department of Electrical Engineering,The Hong Kong Polytechnic University,Kowloon,HKSAR,P.R.China
  • 2. College of Electrical Electronic Engineering,Zhejiang University,Hangzhou,P.R.China
  • 3. Quzhou Power Supply Company,Zhejiang Electric Power Company of State Grid,Quzhou,P.R.China
  • 折叠

摘要

Abstract

Since the connection of small-scale wind farms to distribution networks,power grid voltage stability has been reduced with increasing wind penetration in recent years,owing to the variable reactive power consumption of wind generators.In this study,a two-stage reactive power optimization method based on the alternating direction method of multipliers(ADMM)algorithm is proposed for achieving optimal reactive power dispatch in wind farm-integrated distribution systems.Unlike existing optimal reactive power control methods,the proposed method enables distributed reactive power flow optimization with a two-stage optimization structure.Furthermore,under the partition concept,the consensus protocol is not needed to solve the optimization problems.In this method,the influence of the wake effect of each wind turbine is also considered in the control design.Simulation results for a mid-voltage distribution system based on MATLAB verified the effectiveness of the proposed method.

关键词

两级优化/无功优化/风电场并网/ADMM

Key words

Two-stage optimization/Reactive power optimization/Grid-connected wind farms/Alternating direction method of multipliers (ADMM)

引用本文复制引用

Zhenming Li,Zhao Xu,Yawen Xie,Donglian Qi,Jianliang Zhang..基于ADMM的风场两级分布式无功优化方法[J].全球能源互联网(英文),2021,4(3):251-260,10.

基金项目

The authors would like to thank the support of The National Key Research and Development Program of China (Basic Research Class) (No.2017YFB0903000),and the National Natural Science Foundation of China (No.U1909201). (Basic Research Class)

全球能源互联网(英文)

OACSCDCSTPCDEI

2096-5117

访问量0
|
下载量0
段落导航相关论文