• DocumentCode
    3360739
  • Title

    Reactive power and voltage control using micro-genetic algorithm

  • Author

    Guan, Dong ; Cai, Zixing ; Kong, Zhizhou

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Central South Univ., Changsha, China
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    5019
  • Lastpage
    5024
  • Abstract
    In the paper, a micro-genetic algorithm (MGA) based approach to the optimization of reactive power and voltage profiles improvement and real power loss minimization is present. The proposed strategy aims to prevent voltage fluctuations and unconvergence cases by coordinating the operation of reactive power and voltage control equipments. The problem is formulated as a combinatorial nonlinear optimization problem. Genetic algorithms (GA) are well-known global search technique anchored on the mechanisms of natural selection and genetics. Because of the time intensive nature of the conventional GA, the MGA is proposed as a more time efficient alternative. The feasibility and effectiveness of the developed algorithm is tested and verified on the Hunan grid power system.
  • Keywords
    combinatorial mathematics; genetic algorithms; losses; nonlinear programming; power grids; power system control; reactive power control; search problems; voltage control; Hunan grid power system; combinatorial nonlinear optimization; global search; microgenetic algorithm; power loss minimization; reactive power control; reactive power optimization; unconvergence case; voltage control; voltage fluctuation; voltage profiles improvement; Genetic algorithms; Linear programming; Power generation; Power systems; Reactive power; Reactive power control; System testing; Transformers; Voltage control; Voltage fluctuations; Hunan grid; Voltage/reactive power control; micro-genetic algorithm; varying fitness function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2009. ICMA 2009. International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-2692-8
  • Electronic_ISBN
    978-1-4244-2693-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2009.5246087
  • Filename
    5246087