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University of Tennessee at Chattanooga

Reliability assessment of smart distribution system and analysis of automatic line switches

Abstract

dc:description.abstract

Electric Power reliability is a major concern of any utility company. Although the distribution system is getting advanced, reliable energy at a cheaper cost is still a big concern. Power utility companies are trying to provide reliable energy through many possible ways. One of the possible solutions is use of automatic switches. Power utility companies are using automatic switch called IntelliRupter® for automatic fault detection, isolation and service restoration. It has been the biggest achievement in improving reliability so far. However, such automation is very costly. It needs proper planning for installation of such devices so that the utility company can make the most benefit at optimal cost. The main objective of the study is to compute reliability of the distribution system using Failure Mode and Effect Analysis method. Also, it presents step by step economic analysis to determine optimum number and location of automatic switch fulfilling reliability and economic constraints.

Degree

thesis:*
Grantor dc:publisher
University of Tennessee at Chattanooga

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Manandhar, Sudip
Contributors dc:contributor
  • Sisworahardjo, Nurhidajat
  • Eltom, Ahmed H.; Ofoli, Abjul
  • College of Engineering and Computer Science

Subjects

dc:subject × 2

Rights

dc:rights
Language dc:language
English, eng

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholar.utc.edu/theses/331
OAI identifier oai:identifier
oai:scholar.utc.edu:theses-1471

Chain of custody

source
Harvested from
University of Tennessee - Chattanooga
Base URL
scholar.utc.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Manandhar, Sudip. Reliability assessment of smart distribution system and analysis of automatic line switches. University of Tennessee at Chattanooga, https://scholar.utc.edu/theses/331