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

IF 6.9 2区 工程技术 Q2 ENERGY & FUELS CSEE Journal of Power and Energy Systems Pub Date : 2023-09-08 DOI:10.17775/CSEEJPES.2022.08500
Shuo Yan;Junyu Chen;Minghao Wang;Yongheng Yang;Jose M. Rodriguez
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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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风能转换系统中 DFIG 的模型预测控制调查
本文全面研究了风能转换系统(WECS)中双馈异步发电机(DFIG)的模型预测控制(MPC),特别是转子侧变流器的 MPC。本文首先讨论了主流 MPC 策略的一般原理,并介绍了理论框架。此外,DFIG 的主流和高性能 MPC 方法已被确定为模型预测电流控制 (MPCC)、模型预测转矩控制 (MPTC) 和模型预测功率控制 (MPPC)。本文从分析动态模型入手,研究了这些 MPC 策略的运行原理和技术发展。论文进一步研究了不平衡电网中 MPC 策略的实施。在对几个案例研究进行定量和定性分析的基础上,比较了各种 MPC 方案的性能,并确定了它们的特点。本文还为在风力发电系统中设计双馈变流器的 MPC 策略提供了指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
11.80
自引率
12.70%
发文量
389
审稿时长
26 weeks
期刊介绍: The CSEE Journal of Power and Energy Systems (JPES) is an international bimonthly journal published by the Chinese Society for Electrical Engineering (CSEE) in collaboration with CEPRI (China Electric Power Research Institute) and IEEE (The Institute of Electrical and Electronics Engineers) Inc. Indexed by SCI, Scopus, INSPEC, CSAD (Chinese Science Abstracts Database), DOAJ, and ProQuest, it serves as a platform for reporting cutting-edge theories, methods, technologies, and applications shaping the development of power systems in energy transition. The journal offers authors an international platform to enhance the reach and impact of their contributions.
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