• DocumentCode
    829646
  • Title

    TVA´s experience with the SUNYA lightning detection network

  • Author

    Whitehead, James ; Driggans, Richard

  • Author_Institution
    Tennessee Valley Authority, Chattanooga, TN, USA
  • Volume
    5
  • Issue
    4
  • fYear
    1990
  • fDate
    10/1/1990 12:00:00 AM
  • Firstpage
    2054
  • Lastpage
    2062
  • Abstract
    The Tennessee Valley Authority (TVA) has had access to real-time data on cloud-to-ground lightning strikes in its service area through the lightning detection network (LDN) operated by the State University of New York at Albany (SUNYA). The authors show that in the TVA service area most lightning outages do not occur where the most lightning is. Instead, factors such as structure footing resistance can play an important role. Lightning data are displayed in real time on personal computer workstations connected to SUNYA by satellite link and are recorded for later analysis. TVA is using these data to analyze transmission-line outages (real-time and historical), provide warning of approaching lightning to line crews, develop ground-flash density maps, and to learn more about lightning and its effect on TVA´s transmission system. Lightning flashes that cause particular line outages have been identified and their current and multiplicity characteristics studied
  • Keywords
    lightning; power engineering computing; power systems; SUNYA lightning detection network; State University of New York at Albany; Tennessee Valley Authority; cloud-to-ground lightning strikes; current characteristics; ground-flash density maps; lightning detection network; lightning outages; multiplicity characteristics; personal computer workstations; real-time data; satellite link; transmission-line outages; Lightning; Microcomputers; Power system management; Power transmission lines; Protection; Real time systems; Satellite broadcasting; Senior members; Storms; Workstations;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.103701
  • Filename
    103701