• DocumentCode
    112243
  • Title

    Hierarchical Decentralized Network Reconfiguration for Smart Distribution Systems—Part I: Problem Formulation and Algorithm Development

  • Author

    Fei Ding ; Loparo, Kenneth A.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Case Western Reserve Univ., Cleveland, OH, USA
  • Volume
    30
  • Issue
    2
  • fYear
    2015
  • fDate
    Mar-15
  • Firstpage
    734
  • Lastpage
    743
  • Abstract
    This paper presents a hierarchical decentralized agent-based network reconfiguration methodology to minimize power losses for smart distribution systems. A novel formulation of the network reconfiguration problem is given in which the switch states are the decision variables, and a single-loop branch-exchange heuristic algorithm is used to solve the optimization problem. The entire distribution system is decomposed into subsystems based on the connectivity of areas, and an individual agent is assigned to each decomposed subsystem. A two-stage method is defined for coordinating the reconfigurations of decomposed subsystems. The optimal configuration of the entire system results from collaborations of individual agents, and the decentralized approach significantly reduces the computation time. A 118-bus distribution system is used as the example to illustrate the implementation of the method. The development of a demonstration system and more detailed simulation studies are given in Part II to further illustrate the application of the proposed decentralized approach.
  • Keywords
    distribution networks; optimisation; power engineering computing; smart power grids; agent-based network reconfiguration methodology; computation time; decision variables; hierarchical decentralized network reconfiguration; power losses; single-loop branch-exchange heuristic algorithm; smart distribution systems; subsystems; Generators; Heuristic algorithms; Joining processes; Linear programming; Optimization; Switches; Decentralized network reconfiguration; distribution system; heuristic method; hierarchical; intelligent agents; power loss minimization;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2337260
  • Filename
    6866913