• DocumentCode
    3587174
  • Title

    Application of active management in operation of distribution network using NSGA II

  • Author

    Abapour, Saeed ; Zare, Kazem ; Abapour, Mehdi

  • Author_Institution
    Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz, Iran
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    One of the main aims of distribution networks is increasing the participation of distributed generation. One of the methods that can determine the maximum penetration of DG in distribution network is use of active network management. Active network management has essential role to facilitate the connection of new generations without need of reinforcement traditional network. This paper proposes a multi- objective idea based on minimizing costs of active and reactive power of DGs and network. In addition, the mentioned objective function is includes cost of active power losses and reactive power generated (absorbed) by Reactive Power Compensators (RPC). The proposed objective function is determined based on optimal power flow and with considering the technical constraints. For active management of distribution network, coordinated control of voltage and reactive power of network equipment are implemented. Non-dominated Sorting Genetic Algorithm (NSGA II) is employed to solve the optimization problem.
  • Keywords
    distributed power generation; genetic algorithms; load flow control; power distribution control; power system management; reactive power control; sorting; voltage control; NSGA II; RPC; active network management; active power losses; coordinated voltage control; cost minimization; distributed generation; distribution network; network equipment; nondominated sorting genetic algorithm; objective function; optimal power flow; optimization problem; reactive power compensators; reactive power control; Cost function; Genetic algorithms; Linear programming; Reactive power; Sociology; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Conference (SGC), 2014
  • Print_ISBN
    978-1-4799-8313-1
  • Type

    conf

  • DOI
    10.1109/SGC.2014.7090878
  • Filename
    7090878