Customized reduction techniques for power distribution system reliability analysis

Mohammad Al-Muhaini, Gerald T. Heydt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Evaluating the reliability of networked power systems, especially distribution systems, using Markov models can be problematic and time consuming. This is due to the large number of components and states included in the reliability analysis. It is possible to reduce the number of states and the size of the Markov model matrices through a truncation technique. In this paper, different customized reduction and truncation methods are proposed and applied to the system connection matrix to reduce the number of states as used in Markov reliability analysis. The Roy Billinton Test System (RBTS) is used to illustrate the reduction process and to calculate the system average interruption frequency index (SAIFI) and the system average interruption duration index (SAIDI).

Original languageEnglish (US)
Title of host publication2013 IEEE Power and Energy Society General Meeting, PES 2013
DOIs
StatePublished - Dec 1 2013
Event2013 IEEE Power and Energy Society General Meeting, PES 2013 - Vancouver, BC, Canada
Duration: Jul 21 2013Jul 25 2013

Publication series

NameIEEE Power and Energy Society General Meeting
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Other

Other2013 IEEE Power and Energy Society General Meeting, PES 2013
CountryCanada
CityVancouver, BC
Period7/21/137/25/13

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Keywords

  • Markov models
  • SAIDI
  • SAIFI
  • distribution engineering
  • power system reliability
  • reduction techniques
  • truncation method

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

Cite this

Al-Muhaini, M., & Heydt, G. T. (2013). Customized reduction techniques for power distribution system reliability analysis. In 2013 IEEE Power and Energy Society General Meeting, PES 2013 [6672315] (IEEE Power and Energy Society General Meeting). https://doi.org/10.1109/PESMG.2013.6672315