• DocumentCode
    1588166
  • Title

    Heuristic solution for the nonconvex dispatch of generation in power systems with high wind power share

  • Author

    Ciornei, Irina ; Kyriakides, Elias

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Cyprus, Nicosia, Cyprus
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Wind energy has drawn much attention recently due to its competitiveness compared to other renewable sources of energy, as well as its high benefits to the reduction of emissions and to the reduction of the dependency on fossil fuels. In this paper, a stochastic economic dispatch formulation is proposed to incorporate the impact of the variability of wind generation on the ramp rate limits constraints. The purpose of this method is to limit the probability of generation plus reserve not meeting the load due to the aggregated variability of the wind generation and the load demand. To better represent the conditions in real power systems, the cost of modern thermal units with multiple valves is considered. The problem is nonconvex and complex; therefore, a hybrid heuristic solution method is used. Numerical results, including sensitivity analysis, are reported and discussed based on a modified IEEE 30-bus test system.
  • Keywords
    power generation dispatch; power generation economics; probability; wind power plants; IEEE 30-bus test system; high-wind power share; hybrid heuristic solution method; load demand; nonconvex generation dispatch; stochastic economic dispatch formulation; wind energy; wind generation probability; wind power systems; Fossil fuels; Fuel economy; Hybrid power systems; Power generation; Power generation economics; Power system economics; Power systems; Stochastic processes; Wind energy; Wind energy generation; GAAPI; economic load dispatch; heuristic optimization; hybrid power system; renewable energy sources; wind energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2009. PES '09. IEEE
  • Conference_Location
    Calgary, AB
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-4241-6
  • Type

    conf

  • DOI
    10.1109/PES.2009.5275678
  • Filename
    5275678