• DocumentCode
    3368625
  • Title

    Remote diagnosis of electrical distribution networks

  • Author

    Gilot, Alain

  • Author_Institution
    Schneider Electr., France
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Abstract
    Remote diagnosis of electrical distribution networks contributes greatly to their global performance, obviously on technical grounds but also on 3 economic factors: (1) the reduction of technical losses through a detailed knowledge of all energy flows at various nodes of the network; (2) the optimisation of investments and of operational costs through precise information on the network status and its operation conditions; such information permits the organisation of preventive conditional maintenance (only where needed, when needed); this optimises the return on investment by extending the operating life of equipment without compromising the network technical performance; and (3) the improvement of the energy dependability (availability and quality) through close monitoring of the energy delivery conditions and the identification of the possible need for correction and their most efficient locations. This paper discusses the diagnosis method and the four actions involved in the continuous diagnosis process for a network
  • Keywords
    investment; losses; power distribution economics; power system measurement; telemetry; continuous diagnosis process; diagnosis method; economic factors; electrical distribution networks; energy delivery conditions; energy dependability; energy flows; equipment operating life extension; global performance; investment optimisation; network status; operation conditions; operational costs optimisation; preventive conditional maintenance; remote diagnosis; return on investment; technical losses reduction;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Electricity Distribution, 2001. Part 1: Contributions. CIRED. 16th International Conference and Exhibition on (IEE Conf. Publ No. 482)
  • Conference_Location
    Amsterdam
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-735-7
  • Type

    conf

  • DOI
    10.1049/cp:20010717
  • Filename
    942820