• DocumentCode
    2230166
  • Title

    Fuzzy economic dispatch and spinning reserve allocation using evolutionary programming

  • Author

    Ahmadi-Khatir, Ali ; Motamedi, Amir ; Sadati, Naser ; Fallahi, Kia ; Fathi, Bahareh

  • Author_Institution
    Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
  • fYear
    2008
  • fDate
    28-30 Sept. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The objective of economic dispatch (ED) problem is minimizing the operating cost, and finding the point where the total output of the generations equals the total power that must be delivered. In that point the incremental cost of power generation is also equal for all generators. Considering the presence of uncertainty and inaccuracy in the data, fuzzy set theory is an appropriate method to solve the economic dispatch problems. In this paper, a modified fuzzy economic dispatch is formulated to solve the problem under the competitive electricity market uncertainties. Also, available spinning reserve is optimally allocated to market participants. The formulated optimization problem it then solved using the evolutionary programming (EP). The advantage of the proposed approach, in compression to classical method, is shown in one application example.
  • Keywords
    evolutionary computation; fuzzy set theory; power generation dispatch; power markets; power system economics; economic dispatch problem; electricity market; evolutionary programming; fuzzy economic dispatch; fuzzy set theory; power generation; spinning reserve allocation; Costs; Electricity supply industry; Fuzzy set theory; Genetic programming; Power generation; Power generation dispatch; Power generation economics; Power system economics; Spinning; Uncertainty; economic dispatchderegulation; evolutionary programming (EP); fuzzy set theory; spinning reserve capacity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Symposium, 2008. NAPS '08. 40th North American
  • Conference_Location
    Calgary, AB
  • Print_ISBN
    978-1-4244-4283-6
  • Type

    conf

  • DOI
    10.1109/NAPS.2008.5307355
  • Filename
    5307355