Economic Model Predictive Control for Microgrid Optimization: A Review

被引:23
作者
Hu, Jiefeng [1 ]
Shan, Yinghao [2 ,3 ]
Yang, Yong [4 ]
Parisio, Alessandra [5 ]
Li, Yong [6 ]
Amjady, Nima [1 ]
Islam, Syed [1 ]
Cheng, Ka Wai [7 ]
Guerrero, Josep M. [8 ]
Rodriguez, Jose [9 ]
机构
[1] Federat Univ Australia, Ctr New Energy Transit Res, Mt Helen, Vic 3353, Australia
[2] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China
[3] Minist Educ, Engn Res Ctr Digitized Text & Fash Technol, Shanghai, Peoples R China
[4] Soochow Univ, Sch Rail Transportat, Suzhou 215131, Peoples R China
[5] Univ Manchester, Sch Elect & Elect Engn, Manchester M13 9PL, England
[6] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Peoples R China
[7] Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China
[8] Aalborg Univ, Inst Energy Technol, DK-9220 Aalborg, Denmark
[9] Univ San Sebastian, Fac Engn, Santiago 8370146, Chile
关键词
Microgrids; renewable energy; model predictive control; energy management; ENERGY GENERATION; MANAGEMENT; OPERATION; LANGUAGE; SYSTEMS;
D O I
10.1109/TSG.2023.3266253
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Microgrids have emerged as a promising solution to integrate distributed energy resources (DERs) and supply reliable and efficient electricity. The operation of a microgrid involves the coordination of different DERs and loads. To date, various control methods have been developed to maximize the overall benefit while satisfying various constraints. Now it is urgently needed to understand and comprehend these approaches to further stimulate the deployment of microgrids. This paper presents an overview for researchers on economic model predictive control (EMPC) methods of microgrids to achieve a variety of objectives such as cost minimization and benefit maximization. The fundamental principle of the EMPC theory is explained in detail. The most popular and important strategies applied to stand-alone microgrids, grid-connected microgrids, residential smart homes, as well as networked microgrids are discussed. Future trends are also highlighted.
引用
收藏
页码:472 / 484
页数:13
相关论文
共 76 条
[1]  
[Anonymous], 2023, The role of microgrids in helping to advance the nation's energy system
[2]  
[Anonymous], 2018, 203072017 IEEE
[3]  
[Anonymous], 2023, THE MATHWORKS
[4]  
[Anonymous], 2021, Global EV Outlook
[5]   Supply-Adequacy-Based Optimal Construction of Microgrids in Smart Distribution Systems [J].
Arefifar, Seyed Ali ;
Mohamed, Yasser Abdel-Rady I. ;
El-Fouly, Tarek H. M. .
IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (03) :1491-1502
[6]   Control of systems integrating logic, dynamics, and constraints [J].
Bemporad, A ;
Morari, M .
AUTOMATICA, 1999, 35 (03) :407-427
[7]  
Bisschop J, 2004, APPL OPTIMIZAT, V88, P71
[8]  
Bordons C., 2020, Model predictive control of microgrids, V358
[9]  
Bussieck MR, 2004, APPL OPTIMIZAT, V88, P137
[10]  
Camacho E. F., 2007, ADV TK CONT SIGN PRO, DOI 10.1007/978-0-85729-398-5