• DocumentCode
    1776783
  • Title

    Wind-CSP short-term coordination by MILP approach

  • Author

    Pousinho, H.M.I. ; Silva, Hugo ; Mendes, V.M.F. ; Collares-Pereira, M. ; Pereira Cabrita, C.

  • Author_Institution
    IDMEC, Univ. of Evora, Lisbon, Portugal
  • fYear
    2014
  • fDate
    24-25 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper is on the maximization of total profit in a day-ahead market for a price-taker producer needing a short-term scheduling for wind power plants coordination with concentrated solar power plants, having thermal energy storage systems. The optimization approach proposed for the maximization of profit is a mixed-integer linear programming problem. The approach considers not only transmission grid constraints, but also technical operating constraints on both wind and concentrated solar power plants. Then, an improved short-term scheduling coordination is provided due to the more accurate modelling presented in this paper. Computer simulation results based on data for the Iberian wind and concentrated solar power plants illustrate the coordination benefits and show the effectiveness of the approach.
  • Keywords
    integer programming; linear programming; optimisation; power generation scheduling; power grids; solar energy concentrators; solar power stations; thermal energy storage; wind power plants; Iberian wind; MILP; concentrated solar power plants; day-ahead market; mixed-integer linear programming problem; optimization approach; short-term scheduling; thermal energy storage systems; transmission grid; wind power plants; wind-CSP; Concentrated solar power; mixed-integer linear programming; transmission constraints; wind power;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Renewable Power Generation Conference (RPG 2014), 3rd
  • Conference_Location
    Naples
  • Type

    conf

  • DOI
    10.1049/cp.2014.0889
  • Filename
    6993282