• DocumentCode
    2367324
  • Title

    A new method for simultaneous determination of distribution substation optimal service areas and capacities using modified membership matrix

  • Author

    Mazhari, Seyed Mahdi

  • Author_Institution
    Sch. of ECE, Univ. of Tehran, Tehran, Iran
  • fYear
    2012
  • fDate
    18-25 May 2012
  • Firstpage
    637
  • Lastpage
    642
  • Abstract
    In this paper, a new heuristic method is presented for solving the optimal distribution substation service areas. To do this, membership matrix of the fuzzy clustering algorithm is modified and applied to the problem. Moreover, a pseudo-repetitive procedure based on the allocating and locating alternatively (ALA) is used for simultaneously determination of the distribution substation´ optimal service areas and capacities. Finally, by solving the distribution substation allocation problem for an actual area by the proposed approach and comparing the obtained results to those of genetic algorithm and prevalent heuristic methods, performance of the proposed method is studied and shown.
  • Keywords
    genetic algorithms; power distribution planning; substations; allocating and locating alternatively; distribution substation; fuzzy clustering algorithm; genetic algorithm; modified membership matrix; optimal service areas; prevalent heuristic methods; simultaneous determination; Accuracy; Equations; Genetic algorithms; Indexes; Joining processes; Optimization; Substations; Distribution substation; distribution system planning; fuzzy clustering algorithm; optimal service area;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2012 11th International Conference on
  • Conference_Location
    Venice
  • Print_ISBN
    978-1-4577-1830-4
  • Type

    conf

  • DOI
    10.1109/EEEIC.2012.6221455
  • Filename
    6221455