• DocumentCode
    2469343
  • Title

    Distribution network reconfiguration to reduce losses and enhance reliability using binary gravitational search algorithm

  • Author

    Esmaeilian, Hamid Reza ; Fadaeinedjad, Roohollah ; Attari, Sayyed Mahmoud

  • Author_Institution
    Grad. Univ. of Adv. Technol., Kerman, Iran
  • fYear
    213
  • fDate
    10-13 June 213
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The main aim of distribution companies is to reduce the cost of customer interruptions and energy losses in order to achieve optimal utilization of network. Network reconfiguration is an effective method to achieve this goal. This paper presents an algorithm for optimal network reconfiguration to reduce loss and improve reliability using Binary Gravitational Search Algorithm (BGSA) based on Graph Theory (GT). The cost function of optimization problem includes the overall annual cost of the network energy losses and Energy Not Supplied (ENS) to customers. The state enumeration method based on the Weibull- Markov stochastic model of the network components is used to assess the system reliability. The proposed method is performed on a real grid in province of Kerman, Iran. Simulation results show both loss reduction and reliability enhancement compared to the situation before reconfiguration.
  • Keywords
    Markov processes; Weibull distribution; cost reduction; graph theory; losses; optimisation; power distribution economics; power distribution reliability; power grids; power system simulation; power utilisation; search problems; stochastic processes; BGSA; ENS; GT; Iran; Kerman; Weibull-Markov stochastic model; binary gravitational search algorithm; cost function reduction; customer interruption; distribution network reconfiguration; energy not supplied; graph theory; loss reduction; network energy loss; optimal network utilization; optimization problem; reliability enhancement; state enumeration method;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Electricity Distribution (CIRED 2013), 22nd International Conference and Exhibition on
  • Conference_Location
    Stockholm
  • Electronic_ISBN
    978-1-84919-732-8
  • Type

    conf

  • DOI
    10.1049/cp.2013.0703
  • Filename
    6683306