• DocumentCode
    1328854
  • Title

    Evolutionary programming approach to reactive power planning

  • Author

    Ma, J.T. ; Lai, L.L.

  • Author_Institution
    Dept. of Electr. Electron. & Inf. Eng., City Univ., London, UK
  • Volume
    143
  • Issue
    4
  • fYear
    1996
  • fDate
    7/1/1996 12:00:00 AM
  • Firstpage
    365
  • Lastpage
    370
  • Abstract
    The paper proposes an application of evolutionary programming (EP) to power system reactive power planning (RPP). RPP is a nonsmooth and nondifferentiable optimisation problem for a multiobjective function. Several techniques to make EP practicable have been developed. The proposed approach is demonstrated with the IEEE 30-bus power system. The comprehensive simulation results show that EP is a suitable method to solve the RPP problem. A conventional optimisation method is used as the comparison method. The comparison shows that EP is better than the conventional method in the RPP problem
  • Keywords
    genetic algorithms; power system analysis computing; power system planning; reactive power; IEEE 30-bus system; computer simulation; evolutionary programming; multiobjective function; optimisation problem; power system reactive power planning;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2360
  • Type

    jour

  • DOI
    10.1049/ip-gtd:19960296
  • Filename
    533150
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1328854