• DocumentCode
    2988189
  • Title

    Power Generation Exchange Optimization Model under Constrains of Energy-Saving and Emission-Reducing Among Regions

  • Author

    Jun, Xu ; Zhongfu, Tan

  • Author_Institution
    Energy Econ. Inst., North China Electr. Power Univ., Beijing, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    5405
  • Lastpage
    5408
  • Abstract
    Energy-saving and emission -reducing has become the strategic focus of China´s economic development. Power generation industry, with characteristics of high energy consumption and high pollution, has great potential in energy-saving and emission- reducing field. Several methods can be used in energy saving and emission- reducing of power generating side, such as adjusting the power structure, establishing dispatch and trade mechanisms, as well as tax lever strategies, etc.. In this article, the trading results under the energy-saving goal were studied from the dispatch and trade mechanism perspective. Further, following models were established: trading results comparison model with emission reduction constraints and energy-saving goal; energy trading optimization model between two regions and among multiple regions, both considering constrains of energy-saving and emission- reducing.
  • Keywords
    air pollution; energy consumption; optimisation; power generation dispatch; power generation economics; China economic development; emission reduction constraints; energy consumption; energy trading optimization model; energy-saving; power dispatch mechanisms; power generation exchange optimization model; power generation industry; power structure; trade mechanisms; Biological system modeling; Economics; Electricity; Electricity supply industry; Optimization; Power systems; Smoothing methods; emission reducing; energy saving; optimization; trade;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.1312
  • Filename
    5630289