• DocumentCode
    1943318
  • Title

    Genetic algorithm for optimal reactive power dispatch

  • Author

    Abdullah, W.N.W. ; Saibon, H. ; Zain, A.A.M. ; Lo, K.L.

  • Author_Institution
    Inst. Teknol. MARA, Malaysia
  • Volume
    1
  • fYear
    1998
  • fDate
    3-5 Mar 1998
  • Firstpage
    160
  • Abstract
    Scheduling of reactive power in an optimum manner reduces circulating VAr promoting flatter voltage profile which lead to appreciable MW saving on account of reduced power system losses. Hence, the optimal reactive power dispatch assumes extremely important functioning both in the planning stage as well as in day to day operation of the power system. This paper presents an alternative approach to optimal reactive power dispatch based on genetic algorithm techniques (GAs). The technique is used to search for transformer tap settings and the value of shunt capacitors of a given power system such that the total system power loss is minimised. The proposed method is tested on IEEE 14 and 30 bus test systems and their results are compared with those obtained using load flow calculation
  • Keywords
    genetic algorithms; load dispatching; losses; minimisation; power capacitors; power system planning; power transformers; reactive power; scheduling; MW saving; circulating VAr; computer simulation; genetic algorithm techniques; loss minimisation; optimal reactive power dispatch; planning stage; power system losses; reactive power scheduling; search technique; shunt capacitors; transformer tap settings; voltage profile; Capacitors; Genetic algorithms; Linear programming; Load flow; Object oriented programming; Power system planning; Quadratic programming; Reactive power; Reactive power control; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Management and Power Delivery, 1998. Proceedings of EMPD '98. 1998 International Conference on
  • Print_ISBN
    0-7803-4495-2
  • Type

    conf

  • DOI
    10.1109/EMPD.1998.705494
  • Filename
    705494