Distributed Optimal Power Flow Using ADMM

被引:381
|
作者
Erseghe, Tomaso [1 ]
机构
[1] Univ Padua, Dipartimento Ingn Informaz, I-35131 Padua, Italy
关键词
Alternating direction multiplier method; decentralized processing; decomposition coordination; distributed processing; iterative processing; optimal power flow; NOISY LINKS; HOC WSNS; DECOMPOSITION; OPTIMIZATION; IMPLEMENTATION; CONSENSUS; NETWORK;
D O I
10.1109/TPWRS.2014.2306495
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
Distributed optimal power flow (OPF) is a challenging non-linear, non-convex problem of central importance to the future power grid. Although many approaches are currently available in the literature, these require some form of central coordination to properly work. In this paper a fully distributed and robust algorithm for OPF is proposed which does not require any form of central coordination. The algorithm is based upon the alternating direction multiplier method (ADMM) in a form recently proposed by the author, which, in turn, builds upon the work of Schizas et al. The approach is customized as a region-based optimization procedure, and it is tested in meaningful scenarios.
引用
收藏
页码:2370 / 2380
页数:11
相关论文
共 50 条
  • [1] Adaptive ADMM for Distributed AC Optimal Power Flow
    Mhanna, Sleiman
    Verbic, Gregor
    Chapman, Archie C.
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2019, 34 (03) : 2025 - 2035
  • [2] Online ADMM for Distributed Optimal Power Flow via Lagrangian Duality
    Wang, Song
    Pu, Liangyi
    Huang, Xiaodong
    Yu, Yifan
    Shi, Yawei
    Wang, Huiwei
    ENERGIES, 2022, 15 (24)
  • [3] Impact of Communication Delay on Asynchronous Distributed Optimal Power Flow Using ADMM
    Guo, Junyao
    Hug, Gabriela
    Tonguz, Ozan
    2017 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2017, : 177 - 182
  • [4] A Distributed Algorithm for Fast Optimal Power Flow Regulation in Smart Grids
    Erseghe, Tomaso
    2014 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2014, : 31 - 36
  • [5] Distributed Controllers Seeking AC Optimal Power Flow Solutions Using ADMM
    Zhang, Yijian
    Hong, Mingyi
    Dall'Anese, Emiliano
    Dhople, Sairaj V.
    Xu, Zi
    IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (05) : 4525 - 4537
  • [6] Fully Distributed Optimal Power Flow for Unbalanced Distribution Networks Based on ADMM
    Han, Yuxin
    Chen, Laijun
    Wang, Zhaojian
    Mei, Shengwei
    Chen, Laijun
    Mei, Shengwei
    Liu, Wei
    2016 IEEE INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2016,
  • [7] Learning-Accelerated ADMM for Distributed DC Optimal Power Flow
    Biagioni, David
    Graf, Peter
    Zhang, Xiangyu
    Zamzam, Ahmed S.
    Baker, Kyri
    King, Jennifer
    IEEE CONTROL SYSTEMS LETTERS, 2022, 6 : 1 - 6
  • [8] Learning-Accelerated ADMM for Distributed DC Optimal Power Flow
    Biagioni, David
    Graf, Peter
    Zhang, Xiangyu
    Zamzam, Ahmed S.
    Baker, Kyri
    King, Jennifer
    2021 AMERICAN CONTROL CONFERENCE (ACC), 2021, : 576 - 581
  • [9] ADMM for Sparse Semidefinite Programming with Applications to Optimal Power Flow Problem
    Madani, Ramtin
    Kalbat, Abdulrahman
    Lavaei, Javad
    2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2015, : 5932 - 5939
  • [10] Distributed Optimal Power Flow of DC Microgrids: A Penalty Based ADMM Approach
    Wang, Manshang
    Su, Yifan
    Chen, Laijun
    Li, Zhengming
    Mei, Shengwei
    CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2021, 7 (02): : 339 - 347