Optimal Active Power Control of A Wind Farm Equipped with Energy Storage System based on Distributed Model Predictive Control

Haoran Zhao, Qiuwei Wu, Qinglai Guo, Hongbin Sun, Yusheng Xue

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Abstract

This paper presents the Distributed Model Predictive Control (D-MPC) of a wind farm equipped with fast and short-term Energy Storage System (ESS) for optimal active power control using the fast gradient method via dual decomposition. The primary objective of the D-MPC control of the wind farm is power reference tracking from system operators. Besides, by optimal distribution of the power references to individual wind turbines and the ESS unit, the wind turbine mechanical loads are alleviated. With the fast gradient method, the convergence rate of the DMPC is significantly improved which leads to a reduction of the iteration number. Accordingly, the communication burden is reduced. Case studies demonstrate that the additional ESS unit can lead to a larger wind turbine load reduction, compared to the conventional wind farm control without ESS. Moreover, the efficiency of the developed D-MPC algorithm is independent from the wind farm size and is suitable for the real-time control of the wind farm with ESS.
Original languageEnglish
JournalIET Generation Transmission and Distribution
Volume10
Issue number3
Pages (from-to)669 - 677
Number of pages19
ISSN1751-8687
DOIs
Publication statusPublished - 2016

Keywords

  • D-MPC
  • ESS
  • Mechanical load
  • Wind farm control

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