• DocumentCode
    2060779
  • Title

    Study on the behaviors of electric power consumers in smart grid environment

  • Author

    Jingchao Zhang ; ZhengGang Wang ; YuanLi Niu ; NingXi Song ; ZhuoYa Chen ; Xiaolei Li

  • Author_Institution
    Henan Electr. Power Corp., Zhengzhou, China
  • fYear
    2012
  • fDate
    10-14 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    As one of the stirring direction of research and development in power grid, the construction of smart grid is thought to be a revolution of electric power industry. And two-way interactive communication between the grid and power consumers will be an important part of the power consumption business in the future. As we know, different consumption behaviors of power consumers will bring different influences both on the safe operation of power grid and the economic of consumers. In this paper, the behavior characteristics of different power users of smart grid environment is full taking into account, and the types of energy saving, interactive service guiding, and new service requiring classification method is proposed based on the theory of consumer´s behavior and customer marketing. Point to different development potentials of power consumers in smart service fields presently, the preferential development of energy-saving services to the industrial users is put forward. Meanwhile, the commercial operation model research on the intelligent power consumption filed should be developed as soon as possible. Finally, an energy serving case proposed in the paper proved the feasibility and correctness of the findings.
  • Keywords
    consumer behaviour; energy conservation; power system economics; smart power grids; consumer behavior; customer marketing; electric power consumer; electric power industry; energy saving service; industrial user; interactive communication; power consumption business; safe operation; smart grid environment; smart service field; behaviors of electric power consumers; classification; commercial operation model; smart grid;
  • 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.2012.6508596
  • Filename
    6508596