• DocumentCode
    3190082
  • Title

    Multi-objective optimisation for distribution system planning with renewable energy resources

  • Author

    Zou, Kai ; Agalgaonkar, A.P. ; Muttaqi, K.M. ; Perera, S.

  • Author_Institution
    Sch. of Electr., Comput. & Telecommun. Eng., Univ. of Wollongong, Wollongong, NSW, Australia
  • fYear
    2010
  • fDate
    18-22 Dec. 2010
  • Firstpage
    670
  • Lastpage
    675
  • Abstract
    The seamless integration of renewable distributed generation (DG) units into distribution system has become one of the most challenging research aspects in the recent years. The systematic deployment of renewable DG units can improve distribution system performance in terms of voltage support, loss minimisation, emission reduction, and reliability improvement. It is important to consider technical and economic incentives with the integration of renewable DG units. In this paper, a multi-objective distribution system expansion planning model with integration of renewable DG units is presented. It proposes comprehensive approach to address multiple conflicting objectives without loosing generality. A problem-specific particle swarm optimisation (PSO) based search method is used to solve the formulated planning problem. Scenario based studies are performed to examine the impacts of different DG allocations on system reliability and the investment cost of system reinforcement.
  • Keywords
    particle swarm optimisation; power distribution planning; renewable energy sources; distribution system planning; emission reduction; loss minimisation; multiobjective optimisation; particle swarm optimisation; reliability improvement; renewable distributed generation units; renewable energy resources; voltage support; Heuristic algorithms; Investments; Optimization; Planning; Reliability; Search problems; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conference and Exhibition (EnergyCon), 2010 IEEE International
  • Conference_Location
    Manama
  • Print_ISBN
    978-1-4244-9378-4
  • Type

    conf

  • DOI
    10.1109/ENERGYCON.2010.5771765
  • Filename
    5771765