An efficient method for distribution system reliability evaluation incorporating weather dependent factors

A. S. Nazmul Huda, Rastko Zivanovic

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

2 Citations (Scopus)

Abstract

The aim of this paper is to evaluate the distribution system reliability including weather dependency of component failure rate (FR) and restoration time (RT) while an efficient Multilevel Monte Carlo (MLMC) method is used. The effects of different weather conditions such as high winds, lightning can be incorporated in the reliability evaluation by considering their impacts on FT and RT. MLMC method is a recently developed variance reduction technique for Monte Carlo simulation (MCS) which is proposed for reducing reliability indices computation time. Application of the MLMC method is carried out on a well-known test distribution system. The effects of the normal and adverse weather conditions on reliability estimation are determined. The results are compared with those obtained by using MCS.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE International Conference on Industrial Technology, ICIT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages589-594
Number of pages6
ISBN (Electronic)9781538663769
DOIs
Publication statusPublished - Feb 2019
Event2019 IEEE International Conference on Industrial Technology, ICIT 2019 - Melbourne, Australia
Duration: 13 Feb 201915 Feb 2019

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology
Volume2019-February

Conference

Conference2019 IEEE International Conference on Industrial Technology, ICIT 2019
Country/TerritoryAustralia
CityMelbourne
Period13.02.201915.02.2019

Keywords

  • Distribution system
  • Multilevel Monte Carlo
  • Reliability
  • Weather effects.

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