• DocumentCode
    3260968
  • Title

    A smart operational monitoring approach for high voltage electrical assets

  • Author

    Fornasari, L. ; Cavallini, A. ; Montanari, G.C.

  • Author_Institution
    Techimp HQSpA Zola Predosa, Bologna, Italy
  • fYear
    2013
  • fDate
    6-8 Dec. 2013
  • Firstpage
    218
  • Lastpage
    222
  • Abstract
    The High Voltage and Medium Voltage electrical grid is changing drastically in the way it is operated. Bidirectional power flow due to the growing use of renewable energy and power electronics is among the most important players for such a change. Also, inter-area congestions are becoming more probable due to growing load levels (and patterns, e.g., extensive use of air condition, electric vehicles chargers). Aside of that, but in relation also to that, the electrical network is aging faster and faster. It is therefore necessary to search for innovative ways to operate the changing power systems in the most efficient and reliable manner. For this purpose, there is the need to know if and how loading and “health” condition of the components of the grid can affect the overall grid reliability. Online condition monitoring can provide, in a timely way, fundamental information which can be used for, e.g., probabilistic load flow and contingency analysis. The operational rules will not be derived from handbooks, but from the real conditions of electrical asset components. A methodology for exploiting online monitoring of electrical equipment will be discussed in this paper, and an highlighting case study will be presented.
  • Keywords
    IEEE Xplore; Portable document format; Asset Management; CBM; Global Monitoring; Partial Discharge; Risk Analysis; Smart Grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Condition Assessment Techniques in Electrical Systems (CATCON), 2013 IEEE 1st International Conference on
  • Conference_Location
    Kolkata
  • Print_ISBN
    978-1-4799-0081-7
  • Type

    conf

  • DOI
    10.1109/CATCON.2013.6737501
  • Filename
    6737501