• DocumentCode
    714041
  • Title

    A scalable methodology to measure power distribution networks reliability

  • Author

    Torres, Victor H. X. ; Costa, Breno C. ; Horta, Gustavo L. ; Borges, Henrique E. ; Almeida, Paulo E. M. ; Cardoso, Rodrigo T. N.

  • Author_Institution
    Fac. of the Grad. Program in Math. & Comput. Modelling, Fed. Center of Technol. Educ. of Minas Gerais, Belo Horizonte, Brazil
  • fYear
    2015
  • fDate
    3-6 May 2015
  • Firstpage
    63
  • Lastpage
    68
  • Abstract
    Power distribution networks are increasing, more complex and therefore should provide maximum reliability to its customers. Susceptible to interruptions, defects and malfunction for various reasons, investments in improving distribution network quality are increasing and should be performed based on environment conditions, technical requirements, demands and needs. This paper presents a new methodology to measure and evaluate distribution networks reliability degree based on historical failure data, maintenance costs and variable depreciation study. The new index developed in this effort works as an aid tool to minimize the investment in distribution network maintenance and can be used to predict the value of SAIFI indicator after systematic exchanges, since this it is a worldwide metric for assessing electric power quality and both share the same information.
  • Keywords
    cost reduction; maintenance engineering; power distribution reliability; power supply quality; SAIFI indicator; distribution network maintenance investment cost minimization; distribution network quality improvement; electric power quality; power distribution network reliability measurement; scalable methodology; Correlation; Indexes; Investment; Maintenance engineering; Power system reliability; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on
  • Conference_Location
    Halifax, NS
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4799-5827-6
  • Type

    conf

  • DOI
    10.1109/CCECE.2015.7129161
  • Filename
    7129161