• DocumentCode
    2379728
  • Title

    Sensor data output requirements for Smart Grid applications

  • Author

    Mak, Sioe T.

  • fYear
    2010
  • fDate
    25-29 July 2010
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    The Smart Grid concept is conceived as a means to optimize and to improve the reliability of the electric delivery system. The numerous and different types of information generated at the remote sites at a distribution network by sensors and smart meters coupled with a communication infrastructure and data base management system provide the means to generate useful control algorithms. However, control applications lend themselves for logical stratifications unique to the intended targets of control. Demand response has a rippling effect all the way to generation and to some extend to distribution assets performance. Distribution automation could be local to distribution circuits served by a medium voltage distribution substation. Fast transient phenomena, harmonics problems can be highly local, limited to a particular feeder or at a customer premises. Hence the data requirements for each of the control applications mentioned before can be quite different from each other. This paper tries to illustrate how the physical behavior of the electric energy delivery system dictates the requirements for data generated by he sensing devices to design algorithms for Smart Grid control applications.
  • Keywords
    power distribution control; power distribution reliability; power meters; sensors; smart power grids; communication infrastructure; control algorithms; database management system; distribution automation; distribution circuits; distribution network; electric delivery system reliability; harmonics problems; medium voltage distribution substation; sensor data output requirements; smart grid control applications; smart meters; Control algorithm; Sensor output; Smart Grid applications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2010 IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-6549-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2010.5589580
  • Filename
    5589580