• DocumentCode
    2059471
  • Title

    Electric power energy efficient management system based on optimization of energy consumption modeling1

  • Author

    Li De-zhi ; Xu Gao-jie ; Liu Yong-shun ; Wang He ; Yan Hua-guang

  • Author_Institution
    China Electr. Power Res. Inst., Beijing, China
  • fYear
    2012
  • fDate
    10-14 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    With the development of smart grid technology, power energy efficiency evaluation will be driven to become more intelligent and professional. In order to achieve energy conservation and low-carbon economy, energy efficiency technologies need to be improved. The application of energy efficient technologies has to be enhanced from the supply side, power grid side and demand-side in order to raise energy efficiency effects and update energy conservation technologies. The key technologies, system architecture and advanced applications of demand-side power efficiency evaluation and management system were described in detail in this paper. The monitoring model, efficiency analysis, and optimized control of energy efficiency management system were also elaborated with case studies. The impact and prospect of this technology were finally analyzed.
  • Keywords
    demand side management; energy conservation; energy consumption; energy management systems; smart power grids; demand-side power efficiency evaluation; efficiency analysis; electric power energy efficient management system; energy conservation technologies; energy consumption modeling; energy efficiency effects; energy efficiency technologies; low-carbon economy; monitoring model; power energy efficiency evaluation; power grid side; smart grid technology; supply side; system architecture; Monitoring Online; Power Energy Efficiency Evaluation; Smart Grid; energy consumption modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution (CICED), 2012 China International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-7481
  • Print_ISBN
    978-1-4673-6065-4
  • Electronic_ISBN
    2161-7481
  • Type

    conf

  • DOI
    10.1109/CICED.2012.6508544
  • Filename
    6508544