Research on an MPC-Based Voltage Control Strategy for Renewable Energy Bases with Different Topologies

Weihao Li, Yongning Chi, Qiuwei Wu, Chao Liu

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

As the penetration rate of renewable energy such as wind energy and photovoltaic energy is increasing rapidly, the voltage control of renewable energy bases (REBs) attracts wide attention. As an extensively applied voltage control method in renewable energy power grid, model predictive control (MPC) has many advantages, such as good dynamic performance, ability to coordinate various reactive power compensation devices with different time constants, etc. This paper introduces an MPC-based voltage control strategy for a REB, in which wind farms (WFs) and photovoltaic stations (PVSs) are coordinated to keep the voltage of the point of connection (POC) within the feasible range. Because different collection topologies of REB might affect the performance of the voltage control strategy, three collection topologies including radial topology, chain topology and hybrid topology are selected to analyze the control performance of the voltage control strategy. A 400 MW REB with 2 WFs and 3 PVSs was used to analyze the voltage control effect of the MPC-based voltage control strategy.

Original languageEnglish
Title of host publicationProceedings of 2020 IEEE/IAS Industrial and Commercial Power System Asia
PublisherIEEE
Publication dateJul 2020
Pages1320-1324
Article number9208464
ISBN (Electronic)9781728143033
DOIs
Publication statusPublished - Jul 2020
Event2020 IEEE/IAS Industrial and Commercial Power System Asia, I and CPS Asia 2020 - Weihai, China
Duration: 13 Jul 202016 Jul 2020

Conference

Conference2020 IEEE/IAS Industrial and Commercial Power System Asia, I and CPS Asia 2020
CountryChina
CityWeihai
Period13/07/202016/07/2020
SponsorIEEE, IEEE IAS
Series2020 IEEE/IAS Industrial and Commercial Power System Asia, I and CPS Asia 2020

Keywords

  • Collection topology
  • Model predictive control
  • Renewable energy
  • Voltage control

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