Investigating the use of probability distribution functions in reliability-worth analysis of electric power systems

O. Dzobo, C. T. Gaunt, R. Herman

Research output: Contribution to journalArticlepeer-review

45 Citations (Scopus)

Abstract

The use of probability distribution functions to describe reliability-worth input parameters is fairly new compared to using average values. Reliability-worth indices of power systems are frequently calculated as average values and convey little information about risk. In this paper beta probability distribution function was used to model time-dependent customer interruption costs as an input parameter to reliability-worth analyses of power systems. Time-sequential Monte-Carlo simulation technique that can handle time dependence of the input parameters was employed in the analysis. The results revealed that more information can be derived from the reliability-worth indices when probability distributions are used to describe the reliability-worth input and output parameters.

Original languageEnglish
Pages (from-to)110-116
Number of pages7
JournalInternational Journal of Electrical Power and Energy Systems
Volume37
Issue number1
DOIs
Publication statusPublished - May 2012
Externally publishedYes

Keywords

  • Business customers
  • Customer interruption costs
  • Probability distribution function
  • Reliability-worth

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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