Economic Model Predictive Control for Microgrid Optimization: A Review

被引:11
|
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 50 条
  • [21] Multi-agent Systems Using Model Predictive Control for Coordinative Optimization Control of Microgrid
    Luo, Shanna
    Hu, Changbin
    Zhang, Yongchang
    Ma, Rui
    Meng, Liang
    2017 20TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 2017,
  • [22] A review on optimization dispatching and control for microgrid
    Hou, Jianmin
    Ji, Chengye
    Wang, Junjie
    Ke, Meng
    2018 INTERNATIONAL SEMINAR ON COMPUTER SCIENCE AND ENGINEERING TECHNOLOGY (SCSET 2018), 2019, 1176
  • [23] Economic optimization using model predictive control with a terminal cost
    Amrit, Rishi
    Rawlings, James B.
    Angeli, David
    ANNUAL REVIEWS IN CONTROL, 2011, 35 (02) : 178 - 186
  • [24] A Model Predictive Control Scheme with Ultimate Bound for Economic Optimization
    Alessandretti, Andrea
    Pedro Aguiar, A.
    Jones, Colin N.
    2015 AMERICAN CONTROL CONFERENCE (ACC), 2015, : 1653 - 1658
  • [25] Constrained model predictive control with economic optimization for integrating process
    Pang, Qiang
    Zou, Tao
    Cong, Qiumei
    Wang, Yuan
    CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2015, 93 (08): : 1462 - 1473
  • [26] Lexicographic optimization for economic model predictive control with zone tracking
    Jv, Yaqing
    Wang, Zhaowei
    Zhang, Yi
    Yin, Xunyuan
    Liu, Jianbang
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 2023, 200 : 646 - 654
  • [27] Economic model predictive control for energy management of a microgrid connected to the main electrical grid
    Alarcon, Martin A.
    Alarcon, Rodrigo G.
    Gonzalez, Alejandro H.
    Ferramosca, Antonio
    JOURNAL OF PROCESS CONTROL, 2022, 117 : 40 - 51
  • [28] Real-time microgrid economic dispatch based on model predictive control strategy
    Yan DU
    Wei PEI
    Naishi CHEN
    Xianjun GE
    Hao XIAO
    Journal of Modern Power Systems and Clean Energy, 2017, 5 (05) : 787 - 796
  • [29] Application of Model Predictive Control to BESS for Microgrid Control
    Thai-Thanh Nguyen
    Yoo, Hyeong-Jun
    Kim, Hak-Man
    ENERGIES, 2015, 8 (08) : 8798 - 8813
  • [30] Real-time microgrid economic dispatch based on model predictive control strategy
    Du, Yan
    Pei, Wei
    Chen, Naishi
    Ge, Xianjun
    Xiao, Hao
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2017, 5 (05) : 787 - 796