Recent progress on the study of distributed economic dispatch in smart grid: an overview

被引:47
作者
Wen, Guanghui [1 ]
Yu, Xinghuo [2 ]
Liu, Zhiwei [3 ]
机构
[1] Southeast Univ, Sch Math, Nanjing 211189, Peoples R China
[2] RMIT Univ, Sch Engn, Melbourne, Vic 8000, Australia
[3] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金; 澳大利亚研究理事会;
关键词
Distributed economic dispatch; Distributed optimization; Smart grid; Continuous-time optimization algorithm; Discrete-time optimization algorithm; TP13; OPTIMAL RESOURCE-ALLOCATION; VARYING DIRECTED NETWORKS; ALGORITHM; CONSENSUS; INITIALIZATION; SYSTEMS; COORDINATION; OPTIMIZATION; MANAGEMENT; STRATEGY;
D O I
10.1631/FITEE.2000205
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Designing an efficient distributed economic dispatch (DED) strategy for the smart grid (SG) in the presence of multiple generators plays a paramount role in obtaining various benefits of a new generation power system, such as easy implementation, low maintenance cost, high energy efficiency, and strong robustness against uncertainties. It has drawn a lot of interest from a wide variety of scientific disciplines, including power engineering, control theory, and applied mathematics. We present a state-of-the-art review of some theoretical advances toward DED in the SG, with a focus on the literature published since 2015. We systematically review the recent results on this topic and subsequently categorize them into distributed discrete- and continuous-time economic dispatches of the SG in the presence of multiple generators. After reviewing the literature, we briefly present some future research directions in DED for the SG, including the distributed security economic dispatch of the SG, distributed fast economic dispatch in the SG with practical constraints, efficient initialization-free DED in the SG, DED in the SG in the presence of smart energy storage batteries and flexible loads, and DED in the SG with artificial intelligence technologies.
引用
收藏
页码:25 / 39
页数:15
相关论文
共 79 条
[1]   Distributed Economic Dispatch Control via Saddle Point Dynamics and Consensus Algorithms [J].
Bai, Lu ;
Ye, Maojiao ;
Sun, Chao ;
Hu, Guoqiang .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2019, 27 (02) :898-905
[2]   Distributed Consensus-Based Economic Dispatch With Transmission Losses [J].
Binetti, Giulio ;
Davoudi, Ali ;
Lewis, Frank L. ;
Naso, David ;
Turchiano, Biagio .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (04) :1711-1720
[3]   A Distributed Auction-Based Algorithm for the Nonconvex Economic Dispatch Problem [J].
Binetti, Giulio ;
Davoudi, Ali ;
Naso, David ;
Turchiano, Biagio ;
Lewis, Frank L. .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2014, 10 (02) :1124-1132
[4]  
Binetti G, 2013, MED C CONTR AUTOMAT, P243, DOI 10.1109/MED.2013.6608729
[5]  
Bragin Mikhail A., 2017, IEEE POWER ENERGY SO
[6]   Distributed algorithms for resource allocation in cyber-physical energy systems with uniform/nonuniform communication delays [J].
Chen, Gang ;
Zhao, Zhongyuan .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2020, 357 (07) :4363-4391
[7]   Distributed Finite-Time Economic Dispatch of a Network of Energy Resources [J].
Chen, Gang ;
Ren, Jianghong ;
Feng, E. Ning .
IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (02) :822-832
[8]   Delay Effects on Consensus-Based Distributed Economic Dispatch Algorithm in Microgrid [J].
Chen, Gang ;
Zhao, Zhongyuan .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (01) :602-612
[9]   Initialization-free distributed coordination for economic dispatch under varying loads and generator commitment [J].
Cherukuri, Ashish ;
Cortes, Jorge .
AUTOMATICA, 2016, 74 :183-193
[10]   Distributed Generator Coordination for Initialization and Anytime Optimization in Economic Dispatch [J].
Cherukuri, Ashish ;
Cortes, Jorge .
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2015, 2 (03) :226-237