• DocumentCode
    1572668
  • Title

    Expansion planning and reliability evaluation of distribution networks by heuristic algorithms

  • Author

    Dumbrava, Virgil ; Lazaroiu, Cristian ; Roscia, Cristina ; Zaninelli, Dario

  • Author_Institution
    Dept. of Power Syst., Univ. Politeh. of Bucharest, Bucharest, Romania
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Due to the gradual increase of power demand and variation of loads, the modern distribution networks are growing with complexity more and more. Configuration problems in distribution networks are basically large-scaled combinatorial optimization problems and their solution requires a considerable computing effort, because an urban distribution system usually contains numerous power line sections and sectionalizing switches to be operated. It is, therefore, difficult to rapidly obtain an exact optimal solution on real system. Moreover, reliability issues are becoming increasingly important in modern distribution networks because of both social as well as economic implications. This paper describes several heuristic algorithms applied to find the optimal configuration of meshed distribution network. Also, the most usual reliability indices for the analyzed networks are calculated.
  • Keywords
    heuristic programming; optimisation; power distribution planning; power distribution reliability; combinatorial optimization problem; economic implication; expansion planning; heuristic algorithm; load variation; meshed distribution network; power demand; power line section; reliability evaluation; sectionalizing switch; Computer network reliability; Heuristic algorithms; Planning; Power system reliability; Reliability engineering; distribution power networks; heuristic algorithms; optimal configuration; reliability evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2011 10th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4244-8779-0
  • Type

    conf

  • DOI
    10.1109/EEEIC.2011.5874766
  • Filename
    5874766