Advances and opportunities in the model predictive control of microgrids: Part II-Secondary and tertiary layers

被引：27

作者：

Babayomi, Oluleke ^{[1
]}

Zhang, Zhenbin ^{[1
]}

Dragicevic, Tomislav ^{[2
]}

Heydari, Rasool ^{[3
]}

Li, Yu ^{[1
]}

Garcia, Cristian ^{[4
]}

Rodriguez, Jose ^{[5
]}

Kennel, Ralph ^{[6
]}

机构：

[1] Shandong Univ, Sch Elect Engn, Jinan 250061, Peoples R China

[2] Danmarks Tekniske Univ, DK-2800 Lyngby, Denmark

[3] Univ Southern Denmark, Mads Clausen Inst, Elect Engn, Odense, Denmark

[4] Univ Talca, Dept Elect Engn, Fac Engn, Curico, Chile

[5] Univ Andres Bello, Santiago 7500973, Chile

[6] Tech Univ Muenchen, Inst Elect Dr Syst & Power Elect, D-80333 Munich, Germany

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2022年 / 134卷

基金：

中国国家自然科学基金;

关键词：

Model predictive control; Hybrid AC/DC microgrids; Networked and autonomous microgrids; Three levels of microgrid control; Multi-agent control; Future trends of microgrid control; ENERGY MANAGEMENT-SYSTEM; DISTRIBUTED GENERATION INVERTERS; ROBUST-CONTROL STRATEGY; ISLANDED MICROGRIDS; DC MICROGRIDS; OPERATION; AC; NETWORK; COORDINATION;

D O I：

10.1016/j.ijepes.2021.107339

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：

Model predictive control (MPC) facilitates the multi-variable control of power electronic systems while accommodating physical constraints without the necessity for a cascaded structure. These features result in fast control dynamic response and good performance when system involving non-linearities. In this second part of this paper, we present a review of the recent advances in the application of MPC to the secondary and tertiary control of microgrids (MGs). We also present comprehensive surveys of MPC techniques to the energy management and power flow control of autonomous and networked MGs. The application opportunities for MPC to both distributed secondary control and networked microgrids are also discussed.

引用

页数：13

共 92 条

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