Event-triggered scheme for finite-time distributed economic dispatch in smart grids

被引:10
|
作者
Liu, Haoran [1 ,2 ,3 ]
Fan, Huijin [1 ]
Wang, Bo [1 ]
Liu, Lei [1 ]
Lei, Shunbo [2 ,3 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Natl Key Lab Sci & Technol Multispectral Informat, Wuhan 430074, Peoples R China
[2] Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen 518172, Peoples R China
[3] Shenzhen Inst Artificial Intelligence & Robot Soc, Shenzhen 518172, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
CONSENSUS ALGORITHM; MULTIAGENT SYSTEMS; OPTIMIZATION; COORDINATION; MICROGRIDS;
D O I
10.1016/j.jfranklin.2022.10.031
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper considers the finite-time distributed economic dispatch problem in smart grids: the power generated by individual generators are designed to satisfy a certain demand while minimizing the total generation cost in a distributed manner, which guarantees the convergence in finite time. The proposed method facilitates the solution of real time power dispatch problems. First, a class of distributed eco-nomic dispatch algorithm is proposed to achieve the optimal solution in finite-time with and without capacity limitations. Second, in order to reduce the information exchange requirements, a distributed, asynchronous event-triggered communication scheme is established which is free of Zeno with guaranteed finite-time convergence. Furthermore, both proposed algorithms are robust to the time-varying communication networks. Simulation results illustrate the effectiveness and scalability of the distributed algorithms. (c) 2022 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:10602 / 10627
页数:26
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