• DocumentCode
    2626771
  • Title

    Implementation of genetic algorithm for optimal network reconfiguration in distribution systems for load balancing

  • Author

    Ravibabu, P. ; Venkatesh, K. ; Sudheer Kumar, C.

  • Author_Institution
    EEE Dept, CVRCE, Hyderabad
  • fYear
    2008
  • fDate
    21-25 July 2008
  • Firstpage
    124
  • Lastpage
    128
  • Abstract
    Network reconfiguration of an electrical distribution system is an operation to alter the topological structure of distribution system by changing status (open/closed) of sectionalizing and tie switches. By transferring loads from the heavily loaded feeders to the relatively lightly loaded feeders, the network reconfiguration can balance feeder loads and eliminate overload conditions. The system load-balancing index (LBI) is used to determine the loading conditions of the system and maximum system loading capacity. The index value has to be minimum in the optimal network reconfiguration of load balancing. This paper presents a new approach for optimal network reconfiguration of a distribution system using genetic algorithm to determine the optimal network reconfiguration. The switches are taken into consideration for crossover process. After obtaining number of solutions from the combinational analysis, the optimal solution is selected based on the fitness function, i.e., the solution having the minimum index value. The proposed approach is tested on IEEE 16 bus system.
  • Keywords
    distribution networks; genetic algorithms; IEEE 16 bus system; crossover process; distribution systems; electrical distribution system; feeder load balancing; fitness function; genetic algorithm; optimal network reconfiguration; system load-balancing index; topological structure; Constraint optimization; Distance measurement; Encoding; Genetic algorithms; Genetic mutations; Load management; OFDM modulation; Region 8; Switches; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Technologies in Electrical and Electronics Engineering, 2008. SIBIRCON 2008. IEEE Region 8 International Conference on
  • Conference_Location
    Novosibirsk
  • Print_ISBN
    978-1-4244-2133-6
  • Electronic_ISBN
    978-1-4244-2134-3
  • Type

    conf

  • DOI
    10.1109/SIBIRCON.2008.4602603
  • Filename
    4602603