• DocumentCode
    1764267
  • Title

    Fault Indicator Deployment in Distribution Systems Considering Available Control and Protection Devices: A Multi-Objective Formulation Approach

  • Author

    Shahsavari, Amirhosain ; Mazhari, Seyed Mahdi ; Fereidunian, Alireza ; Lesani, H.

  • Author_Institution
    Sch. of ECE, Univ. of Tehran, Tehran, Iran
  • Volume
    29
  • Issue
    5
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    2359
  • Lastpage
    2369
  • Abstract
    This paper introduces a multi-objective fault indicator (FI) placement method in electric distribution systems. The prevalent FI placement problem formulation is extended by considering effects of existing protection and control devices on customers´ restoration time. Moreover, the customers´ average restoration time index (CARTI) is proposed, as a new technical objective function with respect to uncertainties of automatic switching. Furthermore, a multi-objective solution approach is developed to simultaneously minimize indispensable economic and technical objectives. The resultant optimization problem is solved through a multi-objective particle swarm optimization (MOPSO) based algorithm, accompanied by a fuzzy decision making method to select the best result among the obtained Pareto optimal set of solutions. Assuming SAIDI and CARTI as technical objectives, the proposed method is applied to bus number four of the Roy Billinton test system (RBTS4), as well as a real-life distribution network with about 5500 customers, followed by a discussion on results.
  • Keywords
    decision making; fuzzy set theory; particle swarm optimisation; power distribution control; power distribution economics; power distribution faults; power distribution protection; CARTI; FI placement method; MOPSO; Pareto optimal set; RBTS4; Roy Billinton test system; SAIDI; automatic switching uncertainties; customer average restoration time index; electric distribution systems; fuzzy decision making method; multiobjective fault indicator placement method; multiobjective formulation approach; multiobjective particle swarm optimization based algorithm; multiobjective solution approach; protection devices; real-life distribution network; technical objective function; Circuit faults; Economics; Fault location; Linear programming; Manuals; Switches; Distribution automation system (DAS); fault indicator placement; fuzzy decision making; multi-objective particle swarm optimization (MOPSO); power system planning; reliability evaluation;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2303933
  • Filename
    6739182