• DocumentCode
    1763667
  • Title

    Application of Novel Charged System Search With Real Number String for Distribution System Loss Minimization

  • Author

    Cheng-Chieh Chu ; Men-Shen Tsai

  • Author_Institution
    Grad. Inst. of Autom. Technol., Nat. Taipei Univ. of Technol., Taipei, Taiwan
  • Volume
    28
  • Issue
    4
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    3600
  • Lastpage
    3609
  • Abstract
    Distribution system reconfiguration can be achieved by changing the statuses of switches. By altering the topology of a distribution system, the real power loss can be reduced. This paper proposes a novel charged system search (CSS) algorithm, the particle moving evaluation mechanism CSS (PMEM-CSS), for determining the switching strategy in order to solve the distribution system loss minimization problems. In CSS, the position of each charged particle is a solution that represents a specific topology of a distribution system. During the problem-solving process, new solutions are generated in CSS. In order to avoid generating illegal solutions, a novel decoding scheme is proposed in this paper. The proposed decoding scheme can also improve the search performance when PMEM-CSS seeks the best solution. Three different distribution systems, a 33-bus, a 66-bus, and a TPC 248-bus system are carried out in this paper. The performance of different algorithms (GA, PSO, CSS, and PMEM-CSS) is compared. The simulation results show that not only the efficiency of the proposed method is the best among these algorithms bust also the quality of the solution is superior to other algorithms.
  • Keywords
    decoding; evolutionary computation; minimisation; power distribution; search problems; GA; PMEM-CSS algorithm; PSO; TPC bus system; charged system search algorithm; decoding scheme; evolutionary algorithms; particle moving evaluation mechanism; power distribution system loss minimization problems; power distribution system reconfiguration; problem-solving process; real number string; real power loss; switching strategy; Algorithm design and analysis; Intelligent systems; Load flow analysis; Power distribution; Charged system search (CSS); intelligent system; power distribution system; real number string;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2013.2264836
  • Filename
    6529208