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

Zhenming Li, Zhao Xu, Yawen Xie, Donglian Qi, Jianliang Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)251-260
Number of pages10
JournalGlobal Energy Interconnection
Volume4
Issue number3
DOIs
Publication statusPublished - Jun 2021

Keywords

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

ASJC Scopus subject areas

  • Automotive Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology

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