• DocumentCode
    24764
  • Title

    Distributed Generators as Providers of Reactive Power Support—A Market Approach

  • Author

    Rueda-Medina, Augusto C. ; Padilha-Feltrin, A.

  • Author_Institution
    Univ. Estadual Paulista (UNESP-Ilha Solteira), Sao Paulo, Brazil
  • Volume
    28
  • Issue
    1
  • fYear
    2013
  • fDate
    Feb. 2013
  • Firstpage
    490
  • Lastpage
    502
  • Abstract
    Traditionally, ancillary services are supplied by large conventional generators. However, with the huge penetration of distributed generators (DGs) as a result of the growing interest in satisfying energy requirements, and considering the benefits that they can bring along to the electrical system and to the environment, it appears reasonable to assume that ancillary services could also be provided by DGs in an economical and efficient way. In this paper, a settlement procedure for a reactive power market for DGs in distribution systems is proposed. Attention is directed to wind turbines connected to the network through synchronous generators with permanent magnets and doubly-fed induction generators. The generation uncertainty of this kind of DG is reduced by running a multi-objective optimization algorithm in multiple probabilistic scenarios through the Monte Carlo method and by representing the active power generated by the DGs through Markov models. The objectives to be minimized are the payments of the distribution system operator to the DGs for reactive power, the curtailment of transactions committed in an active power market previously settled, the losses in the lines of the network, and a voltage profile index. The proposed methodology was tested using a modified IEEE 37-bus distribution test system.
  • Keywords
    IEEE standards; Markov processes; Monte Carlo methods; asynchronous generators; distributed power generation; losses; optimisation; permanent magnet generators; power distribution economics; power distribution lines; power markets; reactive power; synchronous generators; wind turbines; DG; IEEE 37-bus distribution test system; Markov model; Monte Carlo method; ancillary service; distributed generator; distribution network line; doubly-fed induction generator; loss; multiobjective optimization algorithm; multiple probabilistic scenario; permanent magnet generator; reactive power market approach; synchronous generator; voltage profile index; wind turbine; Equations; Generators; Indexes; Power generation; Production; Reactive power; Uncertainty; Distributed generators; Markov models; Monte Carlo method; distribution systems; multi-objective optimization; power generation; reactive power market; uncertainty;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2012.2202926
  • Filename
    6239633