• DocumentCode
    1868748
  • Title

    Advanced DP based method for power expansion planning in the deregulated market

  • Author

    Jia, N.X. ; Yokoyama, R. ; Zhou, Y.C.

  • Author_Institution
    Dept. of Electr. Eng., Tokyo Metropolitan Univ., Japan
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Abstract
    In an open generation market, the utility prefers to introduce IPPs rather than building new generators by itself if the participation of IPPs can maximise its profits. At the same time, the IPPs also want to maximize their own profits and bid against each other for participating in the generation market. This paper discusses the bidding conditions of IPPs based on their scenario analyses, and proposes a solution method for the utility to obtain the optimal generation expansion planning while considering the profits of IPPs from the viewpoint of a utility. The supply reliability and the environmental problem (CO2 emission) are considered in this paper. Based on a dynamic programming (DP) approach, the feasibility of the proposed approach is demonstrated in a test power system, and an optimal generation expansion planning of utility in consideration of impact of IPPs is obtained
  • Keywords
    air pollution; carbon compounds; dynamic programming; electricity supply industry; power generation planning; CO2; CO2 emission; IPP; bidding conditions; deregulated market; dynamic programming; environmental problem; generation expansion planning; independent power producers; open generation market; power expansion planning; profits maximisation; supply reliability; Costs; Dynamic programming; Environmental factors; Nuclear power generation; Petroleum; Power generation; Power generation planning; Power system planning; Power system reliability; Turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech Proceedings, 2001 IEEE Porto
  • Conference_Location
    Porto
  • Print_ISBN
    0-7803-7139-9
  • Type

    conf

  • DOI
    10.1109/PTC.2001.964602
  • Filename
    964602