• DocumentCode
    2606455
  • Title

    Distribution network reconfiguration based on minimum cost of power supply

  • Author

    Yu, Jianming ; Zhang, Fan ; Dong, Jie

  • fYear
    2009
  • fDate
    6-7 April 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Under the electricity market environment, when the power supply of distribution network is feed from several substations which power purchase prices are different, the optimal reconfiguration topology cannot depend upon the object of minimum network power losses. This paper proposes a reconfiguration algorithm which considering the minimal power supply cost or maximal benefit else. Associate a refined branch exchange algorithm which includes the differences of power purchase prices, substitute the actual network losses by approximate losses, and the use of complicated heuristic rules is avoided, network topology through the optimization can quickly confirmed. In this course, there is no need to calculate power flow, therefore the complexity of the problem can reduced evidently. The results of calculation example show the simplicity and utility of the proposed algorithm, and also have suggestive meaning for finding economical operation structure of the network.
  • Keywords
    distribution networks; power distribution economics; power markets; distribution network reconfiguration; electricity market environment; heuristic rules; minimal power supply cost; minimum network power losses; optimal reconfiguration topology; power flow; power purchase prices; refined branch exchange algorithm; substations; Costs; Environmental economics; Feeds; Mathematical model; Network topology; Power generation economics; Power supplies; Substations; Switches; Voltage; distribution network reconfiguration; minimal power supply cost; purchase price; refined branch exchange algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4934-7
  • Type

    conf

  • DOI
    10.1109/SUPERGEN.2009.5348374
  • Filename
    5348374