• DocumentCode
    3596514
  • Title

    Decentralized control for optimal voltage regulation in smart distribution grids

  • Author

    Rashidi, Leila ; Moshtagh, Jamal ; Meiabady, Vahid Maleki

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Kurdistan, Sanandaj, Iran
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Voltage control is one of the most important issues in smart grids. Using the communication infrastructure and management that created in smart grids, end-user reactive power capable device can be coordinated for voltage support. Application and implementation of smart grids cause a fundamental change in the methods of reducing and eliminating voltage issues in distribution grids. Due to increasing role of Distributed Generations in distribution grids, by using traditional control methods, voltage issues cannot be improved desirably. In this paper a decentralized control scheme is proposed to control voltage in distribution grids. In this decentralized method, each network bus is equipped with a sensor and an oscillator to measure required parameters. It is shown that by using local coupling method, one can design the network without the need for a central controller. Genetic Algorithm is used as optimization method aimed at identifying the optimal asset of the voltage controllers. To verify the method, it is applied on the IEEE 33- bus system (unbalanced case).
  • Keywords
    decentralised control; distributed power generation; genetic algorithms; power distribution control; reactive power control; smart power grids; voltage control; IEEE 33- bus system; decentralized control scheme; distributed generation; end-user reactive power capable device; genetic algorithm; local coupling method; optimal asset identiffication; optimal voltage regulation; optimization method; oscillator; sensor; smart distribution grid; voltage control; Linear programming; Optimization; Oscillators; Reactive power; Smart grids; Voltage control; Voltage measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Conference (SGC), 2014
  • Print_ISBN
    978-1-4799-8313-1
  • Type

    conf

  • DOI
    10.1109/SGC.2014.7150700
  • Filename
    7150700