• DocumentCode
    2938664
  • Title

    Low-Carbon Power Dispatch Based on Evolutionary Algorithm with Adaptive Weight

  • Author

    Wang Chengjiang ; Zhu Jianguang ; Li Guang ; Zhang Boya

  • Author_Institution
    Electr. Eng. & Renewable Energy Sch., China Three Gorges Univ., Yichang, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a new power dispatch method (low-carbon power dispatch) which pursues economic and low-carbon double targets optimal generation. Based on the mathematic model of economic generation, raise and set up a mathematic model of CO2 emission by analyzing the feature of the coal-fired power plant, then via the evolutionary algorithm to search the optimal solution. Finally, use the standard power system of IEEE 30 nodes to certify the low-carbon power dispatch method is available or not. Compared the data of this dispatch with the original manner, it is found that the CO2 emission is reduced much than the increasing fee. Therefore, low-carbon power dispatch can make thermal power generation reduce the pollution of the environment, and so this dispatch method is constructive and has realistic significance.
  • Keywords
    evolutionary computation; pollution control; power generation dispatch; steam power stations; C; IEEE 30 nodes; adaptive weight; coal-fired power plant; economic generation; evolutionary algorithm; low-carbon double targets optimal generation; low-carbon power dispatch; pollution; thermal power generation; Biological system modeling; Carbon dioxide; Economics; Evolutionary computation; Generators; Optimization; Power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5748976
  • Filename
    5748976