• DocumentCode
    2707033
  • Title

    Power Quality monitoring integration into distribution automation through the use of AMR

  • Author

    Moreno-Muñoz, A. ; Bellido, F. ; Oterino, D. ; La Rosa, J. J G De

  • Author_Institution
    Dept. A.C., Univ. de Cordoba, Cordoba
  • fYear
    2008
  • fDate
    21-24 April 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Power-quality events are of increasing concern for the economy because todaypsilas equipment, particularly computers and automated manufacturing devices, is highly sensitive to such imperfections. With volatile energy rates and a need to control costs, regional agencies and utilities are interested in technologies to meter distribution use and manage utility information. Metering technologies and communications systems have advanced to enable the development of automated meter reading (AMR) systems. Power quality is one area where the AMR system can be very valuable. This paper investigates the challenges in the development of distributed power-quality monitoring system. The approach of this paper is divided into metering, data collection, archiving, analysis, and presentation. It also discusses system architecture, implementation, and provides general guidelines in the tailoring of PQ indices. This paper describes the challenges and lessons learned from this work.
  • Keywords
    automatic meter reading; monitoring; power distribution; power supply quality; AMR systems; automated meter reading systems; data analysis; data archiving; data collection; data presentation; distribution automation; power quality monitoring; Automatic control; Automatic meter reading; Communication system control; Computer aided manufacturing; Computerized monitoring; Costs; Energy management; Information management; Manufacturing automation; Power quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology, 2008. ICIT 2008. IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-1705-6
  • Electronic_ISBN
    978-1-4244-1706-3
  • Type

    conf

  • DOI
    10.1109/ICIT.2008.4608518
  • Filename
    4608518