• DocumentCode
    2346324
  • Title

    Comparative analysis for penetration of distributed generation in power systems

  • Author

    Singh, D. ; Singh, D. ; Verma, K.S.

  • Author_Institution
    Dept. of Electr. Eng., Kamla Nehru Inst. of Technol., Sultanpur
  • fYear
    2008
  • fDate
    24-27 Nov. 2008
  • Firstpage
    1271
  • Lastpage
    1276
  • Abstract
    This paper addresses comparative analysis for penetration of distributed generation (DG) from the perspective of a distribution company (disco). Penetration of distributed generator (Size and location) is obtained through different approaches: Cost minimization and System Energy loss minimization. The methodology adopted permits the planner to decide optimal location and size of DG with compromise between System cost and System energy loss. GA based approaches for penetration of DG in power systems in different loading conditions with time varying loads is explained. Minimization of the functions is performed under voltage and line loading constraints. Proposed strategy is applied to power distribution systems and its effectiveness is verified through simulation results on 16-bus and 37-bus systems with typical load.
  • Keywords
    cost reduction; distributed power generation; distribution networks; genetic algorithms; 16-bus system; 37-bus system; GA based approach; cost minimization; distributed generation; power distribution system; system energy loss minimization; Cost function; Distributed control; Energy loss; Genetic algorithms; Investments; Power generation; Power system analysis computing; Power system simulation; Time varying systems; Voltage; Distributed generation (DG); Genetic algorithms (GA); Optimal sizing and placement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Energy Technologies, 2008. ICSET 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1887-9
  • Electronic_ISBN
    978-1-4244-1888-6
  • Type

    conf

  • DOI
    10.1109/ICSET.2008.4747202
  • Filename
    4747202