• DocumentCode
    570069
  • Title

    Optimal operation of distribution network considering renewable energy sources by binary particle swarm optimization and fuzzy theory

  • Author

    Ebrahimi, A. ; Ramezani, Mohammad Reza ; Moieni, M.

  • Author_Institution
    Tehran Province Regional Electr. Distrib. Co., Tehran, Iran
  • fYear
    2012
  • fDate
    29-30 May 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Today, the development of telecommunications infrastructure has led to rapid exchange of data between the distribution network components and the control center. On the other hand, renewable energy sources (RES) are increasing due to deregulation and restructuring in power systems, global warming and reduction of fossil fuels .These sources are connected to the distribution network therefore behavior of these networks will change. One of the most important problems is the optimal operation of the distribution network including renewable energy sources. Optimal operation of distribution network is a mixed integer, nonlinear and multi-objective problem. Therefore in this paper, binary particle swarm optimization and fuzzy set theory are used for solved the problem. Finally, a practical distribution test system is used to investigate the feasibility and effectiveness of the proposed method.
  • Keywords
    distribution networks; fuzzy set theory; particle swarm optimisation; renewable energy sources; RES; binary particle swarm optimization; control center; distribution network components; distribution test system; fossil fuel reduction; fuzzy set theory; mixed integer problem; multiobjective problem; nonlinear problem; optimal operation; power system deregulation; power system restructuring; renewable energy sources; telecommunications infrastructure;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Integration of Renewables into the Distribution Grid, CIRED 2012 Workshop
  • Conference_Location
    Lisbon
  • Electronic_ISBN
    978-1--84919-628-4
  • Type

    conf

  • DOI
    10.1049/cp.2012.0787
  • Filename
    6302419