• DocumentCode
    2224596
  • Title

    An intelligent placement of distributed capacitance based on loss minimization

  • Author

    Haidar, Ahmed M A ; Aziz, Hazizulden Abdul ; Noman, Khaled M G ; Al-Jawfi, Rashad A.

  • Author_Institution
    Fac. of Electr. & Electron. Eng., Univ. Malaysia Pahang, Kuantan, Malaysia
  • fYear
    2011
  • fDate
    5-8 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Distributed Capacitance (DC) is an electric reactive power source connected directly to the distribution network or on the customer site of the meter. It is related with the use of small capacity units installed in strategic points of electric distribution system and mainly close to the load centres. An optimal placement of DC can minimize the losses in the system, improve voltage profiles and increase load factors of distribution system. This paper proposes an accurate method for optimal allocation of DC in the distribution systems based on intelligent technique namely particle swarm optimization (PSO). The system loss of electrical network is used as an indicator to evaluate the impact of DC location on system reliability and voltage profile. To demonstrate the global optimization power of the presented techniques, the IEEE 30-bus test system has been used in this study to evaluate the proper location of the DC in the electrical network. The results illustrate a high reduction of system losses when DC is located at the proper location with suitable size compared with the system loss at the base case.
  • Keywords
    intelligent networks; load (electric); particle swarm optimisation; power distribution reliability; reactive power; capacity unit; distributed capacitance; distribution network; electric distribution system; electric reactive power source; intelligent placement; intelligent technique; load factor; loss minimization; optimal allocation; optimal placement; particle swarm optimization; Capacitance; Capacitors; Generators; Load flow; Particle swarm optimization; Reactive power; Distribution capacitance; placement; swarm optimization; system loss;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2011 IEEE Congress on
  • Conference_Location
    New Orleans, LA
  • ISSN
    Pending
  • Print_ISBN
    978-1-4244-7834-7
  • Type

    conf

  • DOI
    10.1109/CEC.2011.5949998
  • Filename
    5949998