• DocumentCode
    3468247
  • Title

    Multi-objective optimal strategy of generating and bidding on power selling side considering environmental protection and bidding risk

  • Author

    Chunhua, Peng ; Huijuan, Sun

  • Author_Institution
    Sch. of Electr. & Electron. Eng., East China Jiaotong Univ., Nanchang
  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    263
  • Lastpage
    267
  • Abstract
    In order to guarantee generating and bidding of generating side in electricity market with minimum emission, low risk and maximal profit, the linkage between the unit output change and the power price fluctuation was studied in this paper, and a mathematical model of optimal unit output in the deal day was established to maximize profit, which synthesized the bidding risk exponent, environmental protection cost, generation cost and unit valve point effect. So the economic operation plan of unit and a reasonable scheme of generating and bidding were achieved by the proposed model. To this model with non-linear and non-convex characteristic, a hybrid algorithm based on genetic algorithm and binary particle swarm optimization algorithm was designed for its solution. The feasibility and validity of the proposed method was demonstrated with the results of the economic operation simulation calculation and analysis using an applied example.
  • Keywords
    environmental factors; genetic algorithms; mathematical analysis; particle swarm optimisation; power generation economics; power markets; pricing; bidding risk; bidding risk exponent; binary particle swarm optimization algorithm; economic operation plan; economic operation simulation calculation; electricity market; environmental protection; environmental protection cost; generation cost; genetic algorithm; hybrid algorithm; mathematical model; multiobjective optimal strategy; power price fluctuation; power selling side; Cost function; Couplings; Electricity supply industry; Environmental economics; Fluctuations; Mathematical model; Power generation; Power generation economics; Protection; Valves; bidding risk; economic operation; electricity market; environmental protection; genetic algorithm; particle swarm optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjuing
  • Print_ISBN
    978-7-900714-13-8
  • Electronic_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523415
  • Filename
    4523415