• DocumentCode
    3165839
  • Title

    The application of entroy power method improved on wind power generation project

  • Author

    Liu, Shuliang ; Bai, Yanling

  • Author_Institution
    Economic Manage. Dept., North China Electr. Power Univ., Baoding, China
  • fYear
    2011
  • fDate
    16-18 April 2011
  • Firstpage
    1767
  • Lastpage
    1770
  • Abstract
    Along with shortage of the international energy situation day by day and renewable energy source generating whose cost gradual reduce, the wind power generation already became essential important measure and the way to solve the global energy question. But the wind power generation is one kind of high risk domains, is also one kind of innovative investment behaviors. This article according to the characteristic of the wind power generation, propose the improvement BP neural network assessment method, and establish the multi-objective decision making quality synthetic evaluation model and use the fuzzy theory to carry on quality synthetic evaluation to the wind power generation project reasonably. At the same time, this article in view of wind power generation´s particularity and the uncertainty, propose the practical and feasible management suggeste, thus guarante that the enterprise avoids the risk and obtain the high quota profit.
  • Keywords
    backpropagation; decision making; fuzzy set theory; neural nets; power engineering computing; wind power plants; BP neural network assessment method; entroy power method; fuzzy theory; multiobjective decision making quality synthetic evaluation model; renewable energy source; wind power generation project; Economics; Electric variables measurement; Entropy; Power systems; Sorting; Wind; Wind power generation; Entropy power method; Wind power generation project;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
  • Conference_Location
    XianNing
  • Print_ISBN
    978-1-61284-458-9
  • Type

    conf

  • DOI
    10.1109/CECNET.2011.5769146
  • Filename
    5769146