• DocumentCode
    2052
  • Title

    Hierarchical Decentralized Network Reconfiguration for Smart Distribution Systems—Part II: Applications to Test Systems

  • 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
    744
  • Lastpage
    752
  • Abstract
    A hierarchical decentralized network reconfiguration approach to minimize power losses for smart distribution systems was presented in Part I. In this paper, the proposed approach is applied to four test distribution systems to examine its performance. A demonstration system consisting of the test system and distributed intelligent agents is built using MATLAB/Simulink to illustrate how the decentralized approach is implemented. Simulation results of the proposed approach are then compared with results of a centralized implementation and the harmony search method. It is shown that the decentralized approach can achieve similar results as other methods with significantly reduced computation time. The impacts of time-varying loads and faults are also studied through dynamic network reconfiguration on the 118-bus test system. Simulation results illustrate that dynamic network reconfiguration with time-ahead planning can determine the optimal configuration for each operating period to significantly reduce system energy losses. The enhanced performance of the hierarchical decentralized approach is clearly established.
  • Keywords
    distribution networks; hierarchical systems; multi-agent systems; multivariable systems; power system simulation; search problems; MATLAB-Simulink; distributed intelligent agents; dynamic network reconfiguration; harmony search method; hierarchical decentralized network reconfiguration approach; power losses; smart distribution systems; system energy losses; test distribution systems; time-ahead planning; time-varying loads; Computational modeling; Heuristic algorithms; MATLAB; Power system dynamics; Simulation; Switches; Decentralized network reconfiguration; MATLAB; Simulink; dynamic network reconfiguration; hierarchical; renewable energy resource; restoration;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2337280
  • Filename
    6867361