• DocumentCode
    2332904
  • Title

    Optimal Reactive Power Planning for load margin improvement using Multi Agent Immune EP

  • Author

    Aminudin, Norziana ; Rahman, Titik Khawa Abdul ; Musirin, Ismail ; Zakaria, Zuhaina

  • Author_Institution
    Univ. Teknol. MARA, Shah Alam, Malaysia
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    System´s loadability is very much depends on the reactive power support in the network. Lack of reactive power support may results in a serious problem to occur i.e. voltage collapse. This paper presents a method to increase the system´s loadability and hence the voltage stability margin of a system by utilizing the Optimal Reactive Power Planning (ORPP). A newly developed optimization technique; namely Multiagent Immune Evolutionary Programming (MAIEP) is introduced to obtain the optimal solution to the problem. The concept of MAIEP is developed based on the combination of Multiagent System, Artificial Immune System and Evolutionary Programming. The proposed MAIEP based ORPP was tested on the IEEE-26 reliability test system in order to realize its performance. The results obtained from the proposed ORPP using MAIEP has successfully improved the load margin and at the same time the total system losses and cost of generation were reduced.
  • Keywords
    artificial immune systems; evolutionary computation; multi-agent systems; power system dynamic stability; power system planning; power system reliability; IEEE-26 reliability test system; load margin improvement; multiagent immune evolutionary programming; optimal reactive power planning; optimization technique; reactive power support; system loadability; voltage collapse; voltage stability margin; Lattices; Load flow; Loading; Optimization; Planning; Programming; Reactive power; Load margin; MAIEP; Maximum loading point; ORPP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2010 IEEE Congress on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-6909-3
  • Type

    conf

  • DOI
    10.1109/CEC.2010.5586428
  • Filename
    5586428