• DocumentCode
    1369257
  • Title

    An AMI System for the Deregulated Electricity Markets

  • Author

    Sui, Huibin ; Wang, Honghong ; Lu, Ming-Shun ; Lee, Wei-Jen

  • Author_Institution
    Sch. of Electr. Eng., Shandong Univ., Jinan, China
  • Volume
    45
  • Issue
    6
  • fYear
    2009
  • Firstpage
    2104
  • Lastpage
    2108
  • Abstract
    In the competitive electricity structure, the data exchange between supplier and customers becomes more important for efficient and secure operation of power systems. Automated meter reading (AMR) technology has played a role in helping utilities overcome their meter-reading challenges. However, it is not enough in today´s environment. Utilities need an advanced metering infrastructure (AMI) to gather and utilize metered data in more intelligent and cost-effective manner. In this paper, a flexible and cost-effective AMI system is proposed. The AMI system adopts multicommunication media, such as Global System for Mobile Communications and General Package Radio Service. The AMI system not only reduces the labor cost and increases meter-reading accuracy but also provides accurate load-profile information and billing data to help customers manage their power consumption. The distributed structure of the AMI system makes it easy to be adopted in different sizes of utility systems. The effectiveness of the proposed system has been demonstrated in several utilities in Shandong Province, China.
  • Keywords
    cellular radio; packet radio networks; power markets; power system measurement; China; Shandong Province; advanced metering infrastructure; automated meter reading technology; deregulated electricity markets; load-profile information; multicommunication media; power consumption; Advanced metering infrastructure (AMI); General Package Radio Service (GPRS); Global System for Mobile Communications (GSM); communication; deregulated electricity market;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2009.2031848
  • Filename
    5238584