• DocumentCode
    2504843
  • Title

    Optimal siting and sizing of distributed generations in radial and networked systems considering different voltage dependent static load models

  • Author

    Singh, R.K. ; Goswami, S.K.

  • Author_Institution
    Dept. of Electr. Eng., Jadavpur Univ., Kolkata
  • fYear
    2008
  • fDate
    1-3 Dec. 2008
  • Firstpage
    1535
  • Lastpage
    1540
  • Abstract
    This paper presents a methodology using genetic algorithm for optimally allocating distributed generations (DGs) in radial as well as networked distribution systems so as to minimize the average of locational charges for unit active power at buses. The loads of the system are uncontrolled and depend on voltage and frequency of the system. Therefore, analysis assuming constant loads will give misleading and inaccurate results. The frequency is a pan system phenomenon that cannot be controlled locally or affected by the presence of DG. Therefore, this paper only addresses the voltage sensitiveness of the loads by incorporating voltage dependent load models in the analysis. The proposed method is tested on the standard test systems and results of simulation are presented in tabular and graphical form.
  • Keywords
    distributed power generation; sensitivity analysis; distributed generations; networked distribution systems; pan system phenomenon; unit active power; voltage dependent load models; voltage dependent static load models; voltage sensitivity; Design optimization; Distributed control; Frequency; Genetic algorithms; Load modeling; Power system modeling; Power system simulation; Pricing; System testing; Voltage; Distributed Generaton (DG); distribution network; locational charge; optimal location; optimal size;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Conference, 2008. PECon 2008. IEEE 2nd International
  • Conference_Location
    Johor Bahru
  • Print_ISBN
    978-1-4244-2404-7
  • Electronic_ISBN
    978-1-4244-2405-4
  • Type

    conf

  • DOI
    10.1109/PECON.2008.4762723
  • Filename
    4762723