• DocumentCode
    1979855
  • Title

    Application of Wireless Sensor Network to Direct Load Control in Residential Areas

  • Author

    Molina-Garcia, A. ; Fuentes, J.A. ; Gómez-Lázaro, E. ; Bonastre, A. ; Campelo, J.C. ; Serrano, J.J.

  • Author_Institution
    Tech. Univ. of Cartagena, Cartagena
  • fYear
    2007
  • fDate
    4-7 June 2007
  • Firstpage
    1974
  • Lastpage
    1979
  • Abstract
    This paper describes the application of wireless sensor network to monitor and control electrical loads in residential areas, mainly heating and cooling loads, which accounts for around 50% of the residential electricity consumption. In this way, a control algorithm has also been implemented in order to select the optimum load control strategy according to a target demand profile and a set of prefixed constraints, allowing the customers to modify their power demand with minimum comfort levels. Therefore, this application offers the residential customers a flexible, powerful and low-cost tool to manage their electrical loads, avoiding any additional wiring and extending the wireless sensor network technology to small customers, with around 30% share of the global electricity consumption. This system has been implemented in a university environment, and the results are also included in this paper.
  • Keywords
    load regulation; wireless sensor networks; direct load control; electrical loads; optimum load control strategy; residential area; residential electricity consumption; target demand profile; wireless sensor network; Cooling; Energy consumption; Energy management; Load flow control; Load management; Monitoring; Power demand; Resistance heating; Temperature control; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2007. ISIE 2007. IEEE International Symposium on
  • Conference_Location
    Vigo
  • Print_ISBN
    978-1-4244-0754-5
  • Electronic_ISBN
    978-1-4244-0755-2
  • Type

    conf

  • DOI
    10.1109/ISIE.2007.4374910
  • Filename
    4374910