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
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2022年 / 359卷 / 18期
基金
中国国家自然科学基金; 国家重点研发计划;
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
相关论文
共 36 条
  • [1] Distributed Economic Dispatch Control via Saddle Point Dynamics and Consensus Algorithms
    Bai, Lu
    Ye, Maojiao
    Sun, Chao
    Hu, Guoqiang
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2019, 27 (02) : 898 - 905
  • [2] Robust Distributed Fixed-Time Economic Dispatch Under Time-Varying Topology
    Baranwal, Mayank
    Garg, Kunal
    Panagou, Dimitra
    Hero, Alfred O.
    [J]. IEEE CONTROL SYSTEMS LETTERS, 2021, 5 (04): : 1183 - 1188
  • [3] Finite-time stability of continuous autonomous systems
    Bhat, SP
    Bernstein, DS
    [J]. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2000, 38 (03) : 751 - 766
  • [4] Boyd S., 2004, Convex Optimization, DOI 10.1017/CBO9780511804441
  • [5] A fixed-time convergent algorithm for distributed convex optimization in multi-agent systems
    Chen, Gang
    Li, Zhiyong
    [J]. AUTOMATICA, 2018, 95 : 539 - 543
  • [6] Distributed Finite-Time Economic Dispatch of a Network of Energy Resources
    Chen, Gang
    Ren, Jianghong
    Feng, E. Ning
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (02) : 822 - 832
  • [7] Distributed Generator Coordination for Initialization and Anytime Optimization in Economic Dispatch
    Cherukuri, Ashish
    Cortes, Jorge
    [J]. IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2015, 2 (03): : 226 - 237
  • [8] Distributed Fixed-Time Optimization in Economic Dispatch Over Directed Networks
    Dai, Hao
    Jia, Jinping
    Yan, Li
    Fang, Xinpeng
    Chen, Weisheng
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (05) : 3011 - 3019
  • [9] Distributed Energy Management for Smart Grids With an Event-Triggered Communication Scheme
    Ding, Lei
    Wang, Le Yi
    Yin, George
    Zheng, Wei Xing
    Han, Qing-Long
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2019, 27 (05) : 1950 - 1961
  • [10] Smart Grid - The New and Improved Power Grid: A Survey
    Fang, Xi
    Misra, Satyajayant
    Xue, Guoliang
    Yang, Dejun
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2012, 14 (04): : 944 - 980