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BRIEF RESEARCH REPORT article

Front. Energy Res.
Sec. Smart Grids
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1443626
This article is part of the Research Topic Emerging Technologies for the Construction of Renewable Energy-Dominated Power System View all 26 articles

Coordinated Voltage Control for Large-scale Wind Farms with ESS and SVG based on MPC considering Wake Effect

Provisionally accepted
Kuichao Ma Kuichao Ma 1,2Yinpeng Chen Yinpeng Chen 1Shuaifeng Wang Shuaifeng Wang 3,4Qiang Wang Qiang Wang 5Kai Sun Kai Sun 5Heng Nian Heng Nian 1Heng Nian Heng Nian 2Juan Wei Juan Wei 3,4*
  • 1 Huadian Electric Power Research Institute Co. Ltd., Hangzhou, China
  • 2 Zhejiang University, Hangzhou, Zhejiang Province, China
  • 3 Hunan University, Changsha, Hunan Province, China
  • 4 College of Electrical and Information Engineering, Hunan University, Changsha, China
  • 5 Inner Mongolia Huadian Huitengxile Wind Power Co. Ltd, Hohhot, China

The final, formatted version of the article will be published soon.

    The wake effect reduces the wind speed at downstream wind turbines (WTs), making it necessary for the central controller to collect wind power generation data from each WT. However, wind farms (WFs) face a more complex problem in maintaining the voltage stability at the WT terminal while following the transmission system operator (TSO) instructions due to the information collection as well as the possible data loss during transmission. Therefore, this study proposes a coordinated control method for WTs and multiple power sources based on model predictive control under wake disturbance conditions, aiming to reduce the average voltage deviation in WT terminals and go close to the rated voltage and ensure effective compliance with TSO commands in large-scale WFs. Accordingly, the Jensen wake model was utilized to accurately calculate the available active and reactive power limits for each WT. Energy storage systems and static Var generators were modeled to coordinate and maintain the voltage in all WT terminals within the feasible range, providing peak shaving and valley filling support to reduce wind energy waste and shortfall, thereby enhancing the economic and operational reliability of WF. Further, the effectiveness of the proposed method was validated in MATLAB/Simulink.

    Keywords: Wind farm, Voltage control, Energy Storage System (ESS), Static var generator (SVG), Model predictive control (MPC), Wake effect

    Received: 04 Jun 2024; Accepted: 10 Jul 2024.

    Copyright: © 2024 Ma, Chen, Wang, Wang, Sun, Nian, Nian and Wei. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Juan Wei, College of Electrical and Information Engineering, Hunan University, Changsha, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.