• DocumentCode
    2824080
  • Title

    A Minimal Budget Approach algorithm for integration of clean energy to electricity systems

  • Author

    Ding, Jinxu ; Somani, Arun

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • fYear
    2010
  • fDate
    27-29 Sept. 2010
  • Firstpage
    143
  • Lastpage
    150
  • Abstract
    In order to reduce green house emission, some clean energy policies have been approved or are being designed to stimulate clean energy development in electricity systems of some countries. The implementation of these clean energy policies needs a huge investment of money because this will reform the backbones of the energy infrastructure in these countries. Thus, it is important to find out how to minimize the investment meanwhile meet the growing power demand and satisfy the clean energy policies. This issue plays an important role in the development of a country in the aspects of economics, environment and energy. In this paper, we focus on the above issue and propose a Minimal Budget Approach (MBA) algorithm, which can help decison makers to find out how to realize the clean energy policies, meet increasing power demand and keep the budget as small as possible.
  • Keywords
    climate mitigation; climatology; decision making; demand side management; power markets; MBA algorithm; clean energy development; clean energy policy; decison maker; electricity system; greenhouse emission; investment; minimal budget approach algorithm; power demand; Biological system modeling; Investments; Planning; Power demand; Power markets; Wind power generation; Clean energy; Electricity systems; Optimization models; RPS; Reduced green house emissions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Technologies for an Efficient and Reliable Electricity Supply (CITRES), 2010 IEEE Conference on
  • Conference_Location
    Waltham, MA
  • Print_ISBN
    978-1-4244-6076-2
  • Type

    conf

  • DOI
    10.1109/CITRES.2010.5619868
  • Filename
    5619868