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

被引:4
作者
Yan, Shuo [1 ]
Chen, Junyu [2 ]
Wang, Minghao [3 ]
Yang, Yongheng [4 ]
Rodriguez, Jose M. [5 ]
机构
[1] RMIT Univ, STEM Coll, Melbourne, Australia
[2] Hong Kong Polytech Univ, Hong Kong, Peoples R China
[3] Univ Macau, Dept Elect & Comp Engn, State Key Lab Internet Things Smart City UM, Taipa, Macao, Peoples R China
[4] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China
[5] Univ San Sebastin, Santiago 000000, Chile
关键词
Doubly fed induction generator (DFIG); model predictive control (MPC); wind energy; DIRECT POWER-CONTROL; FED INDUCTION GENERATOR; TORQUE-RIPPLE REDUCTION; STATOR CURRENT CONTROL; GRID VOLTAGE CONDITIONS; ROTOR CURRENT CONTROL; OF-THE-ART; FLUX CONTROL; MOTOR; DRIVES;
D O I
10.17775/CSEEJPES.2022.08500
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
收藏
页码:1085 / 1104
页数:20
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