A Survey on Model Predictive Control of DFIGs in Wind Energy Conversion Systems

Shuo Yan; Junyu Chen; Minghao Wang; Yongheng Yang; Jose M. Rodriguez

doi:10.17775/CSEEJPES.2022.08500

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A Survey on Model Predictive Control of DFIGs in Wind Energy Conversion Systems

Regular Papers | 更新时间：2026-10-15

- A Survey on Model Predictive Control of DFIGs in Wind Energy Conversion Systems
- CSEE Journal of Power and Energy Systems Vol. 10, Issue 3, Pages: 1085-1104(2024)
- 作者机构：
  
  1. STEM College, RMIT University,Melbourne,Australia
  2. Hong Kong Polytechnic University,Hong Kong,China
  3. Department of Electrical and Computer Engineering, State Key Laboratory of Internet of Things for Smart City (UM), University of Macau, Macau,China
  4. College of Electrical Engineering, Zhejiang University,Hangzhou,China
  5. Universidad San Sebastin, Santiago de Chile,Chile
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2022.08500
  CLC：
- Published：01 May 2024
- 稿件说明：
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Shuo Yan, Junyu Chen, Minghao Wang, et al. A Survey on Model Predictive Control of DFIGs in Wind Energy Conversion Systems[J]. CSEE Journal of Power and Energy Systems, 2024, 10(3): 1085-1104.
DOI：

Shuo Yan, Junyu Chen, Minghao Wang, et al. A Survey on Model Predictive Control of DFIGs in Wind Energy Conversion Systems[J]. CSEE Journal of Power and Energy Systems, 2024, 10(3): 1085-1104. DOI： 10.17775/CSEEJPES.2022.08500.

摘要

Abstract

This paper presents a comprehensive study on the model predictive control (MPC) of doubly fed induction generators (DFIG) in wind energy conversion systems (WECS); in particular the MPC of the rotor side converter. The general principle of prevalent MPC strategies is discussed to introduce the theoretical framework in the first place. Furthermore

mainstream and high-performance MPC methods of DFIGs have been identified as model predictive current control (MPCC)

model predictive torque control (MPTC)

and model predictive power control (MPPC). Starting from analyzing dynamic models

these MPC strategies are investigated in terms of operating principles and technical developments. The paper further investigates implementation of MPC strategies in unbalanced grids. Based on the quantitative and qualitative analysis of several case studies

performance of various MPC schemes is compared and their special features are identified. Guidelines for designing MPC strategies of DFIGs in WECS are provided.

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