Convex Distribution System Reconfiguration Using Group Sparsity

被引:0
|
作者
Dall'Anese, Emiliano [1 ]
Giannakis, Georgios B. [1 ]
机构
[1] Univ Minnesota, Digital Technol Ctr, Dept ECE, Minneapolis, MN 55455 USA
关键词
Distribution systems; network reconfiguration; convex programming; group sparsity;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A system reconfiguration problem is considered for three-phase power distribution networks, with the objective of finding the topology that minimizes the overall active power loss. In lieu of binary variables representing the states of tie switches, contemporary compressive sampling tools are leveraged here to re-formulate the nonconvex distribution system reconfiguration (DSR) problem into a convex one. The novel formulation hinges on the notion of group-sparsity, an underlying attribute of the currents and powers traversing the distribution lines equipped with switches. It is shown that by adjusting a sparsity-tuning parameter, one can obtain meshed, weakly-meshed, or radial systems. The proposed reconfiguration scheme is tested on a modified version of the IEEE 37-node test feeder.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Convex Models of Distribution System Reconfiguration
    Taylor, Joshua A.
    Hover, Franz S.
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2012, 27 (03) : 1407 - 1413
  • [2] Risk-Constrained Microgrid Reconfiguration Using Group Sparsity
    Dall'Anese, Emiliano
    Giannakis, Georgios B.
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2014, 5 (04) : 1415 - 1425
  • [3] Sparsity-Leveraging Reconfiguration of Smart Distribution Systems
    Dall'Anese, Emiliano
    Giannakis, Georgios B.
    IEEE TRANSACTIONS ON POWER DELIVERY, 2014, 29 (03) : 1417 - 1426
  • [4] Reconfiguration of distribution system using a binary programming model
    Hyder, Md Mashud
    Mahata, Kaushik
    AIMS ENERGY, 2016, 4 (03) : 461 - 480
  • [5] Distribution System Reconfiguration using Artificial Immune Systems
    Alonso, F. R.
    Oliveira, D. Q.
    De Souza, A. C. Z.
    Lopes, B. I. L.
    2014 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2014,
  • [6] Reconfiguration of electrical distribution system using ACO methodology
    Jamil, Majid
    Sharma, Amit
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 35 (05) : 4901 - 4908
  • [7] Distribution system reconfiguration using Graph Chain Representation
    Delbem, ACB
    Bretas, NG
    de Carvalho, A
    2000 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY, VOLS I-III, PROCEEDINGS, 2000, : 439 - 443
  • [8] Distribution Network Reconfiguration: A Disjunctive Convex Hull Approach
    Lei, Chao
    Bu, Siqi
    Zhong, Jun
    Chen, Qifan
    Wang, Qianggang
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2023, 38 (06) : 5926 - 5929
  • [9] Multiple kernel learning with NOn-conVex group spArsity
    Yuan, Ying
    Lu, Weiming
    Wu, Fei
    Zhuang, Yueting
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2014, 25 (07) : 1616 - 1624
  • [10] NON-CONVEX GROUP SPARSITY: APPLICATION TO COLOR IMAGING
    Majumdar, Angshul
    Ward, Rabab K.
    2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2010, : 469 - 472