Residential College | false |
Status | 已發表Published |
A Survey on Model Predictive Control of DFIGs in Wind Energy Conversion Systems | |
Yan, Shuo1; Chen, Junyu2; Wang, Minghao3; Yang, Yongheng4; Rodriguez, Jose M.5 | |
2024-05-01 | |
Source Publication | CSEE Journal of Power and Energy Systems |
ISSN | 2096-0042 |
Volume | 10Issue:3Pages:1085-1104 |
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. |
Keyword | Doubly Fed Induction Generator (Dfig) Model Predictive Control (Mpc) Wind Energy |
DOI | 10.17775/CSEEJPES.2022.08500 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Energy & Fuels ; Engineering |
WOS Subject | Energy & Fuels ; Engineering, Electrical & Electronic |
WOS ID | WOS:001252836800015 |
Publisher | CHINA ELECTRIC POWER RESEARCH INST15, QINGHE XIAOYING DONG LU, HAIDIAN-QU, BEIJING 100192, PEOPLES R CHINA |
Scopus ID | 2-s2.0-85196673808 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
Corresponding Author | Wang, Minghao |
Affiliation | 1.STEM College, RMIT University, Melbourne, Australia 2.Hong Kong Polytechnic University, Hong Kong, Hong Kong 3.University of Macau, State Key Laboratory of Internet of Things for Smart City (UM), Department of Electrical and Computer Engineering, Macao 4.College of Electrical Engineering, Zhejiang University, Hangzhou, 310027, China 5.Universidad San Sebastin, Santiago de Chile, 000000, Chile |
Corresponding Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Yan, Shuo,Chen, Junyu,Wang, Minghao,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. |
APA | Yan, Shuo., Chen, Junyu., Wang, Minghao., Yang, Yongheng., & Rodriguez, Jose M. (2024). A Survey on Model Predictive Control of DFIGs in Wind Energy Conversion Systems. CSEE Journal of Power and Energy Systems, 10(3), 1085-1104. |
MLA | Yan, Shuo,et al."A Survey on Model Predictive Control of DFIGs in Wind Energy Conversion Systems".CSEE Journal of Power and Energy Systems 10.3(2024):1085-1104. |
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