• DocumentCode
    3459942
  • Title

    Optimal allocation of renewable energy resources for minimising emissions in distribution networks

  • Author

    Abdullah, M.A. ; Agalgaonkar, A.P. ; Muttaqi, K.M.

  • Author_Institution
    Endeavour Energy Power Quality & Reliability Centre, Univ. of Wollongong, Wollongong, NSW, Australia
  • fYear
    2011
  • fDate
    22-24 Nov. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Integration of renewable Distributed Generation (DG) into the distribution networks is one of the effective ways to ensure emission reduction with the added benefits of network support and transmission and distribution system expansion deferral. Emission reduction by renewable DGs mostly depends on the generation technology, size and type of DG units and curtailment of fossil fuel based grid energy. This paper proposes a strategy for evaluating the size and type of renewable DG and determining the best mix of different renewable DG technologies by minimising primary and operational emissions without violating network constraints. A methodology based on time sequential optimisation is proposed for maximising annual emission offset considering the time varying demand and generation with different penetration of renewable resources into distribution networks. The proposed technique is tested on a realistic distribution feeder with different scenarios and results are presented.
  • Keywords
    distributed power generation; distribution networks; renewable energy sources; distribution feeder; distribution networks; emission reduction; optimal allocation; renewable distributed generation; renewable energy resources; time sequential optimisation; Distributed Generation; Distribution Network; Emission Reduction; Optimisation; Renewable Resources;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Reliability of Transmission and Distribution Networks (RTDN 2011), IET Conference on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/cp.2011.0525
  • Filename
    6162267