Reliability worth assessment in distribution systems utilizing Monte Carlo simulation techniques

The basic objective of an electric power system is to provide electric power and energy to its customers at the lowest possible cost and at acceptable levels of reliability. But the two aspects are often in direct conflict and how to balance them is a challenging problem for present power system man...

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Main Author: Ou, Yan.
Other Authors: Goel, Lalit Kumar
Format: Theses and Dissertations
Language:English
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/13199
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-131992023-07-04T15:10:59Z Reliability worth assessment in distribution systems utilizing Monte Carlo simulation techniques Ou, Yan. Goel, Lalit Kumar School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries The basic objective of an electric power system is to provide electric power and energy to its customers at the lowest possible cost and at acceptable levels of reliability. But the two aspects are often in direct conflict and how to balance them is a challenging problem for present power system managers, planners and operators. The reliability assessment part of the problem has been well studied during the past few decades. In contrast, the ability to assess the worth of providing reliable service is not so well established and considerable work is still required. Meanwhile, lowest cost with a reasonable assurance of continuity and quality is fast becoming an important measure in selecting a specific power company by customers in the highly competitive environment. As the distribution system is the vital link between the bulk system and the customers, and previous studies indicate that distribution system makes a significant contribution to overall customer reliability, it becomes absolutely necessary to perform reliability worth assessment in distribution systems. The expected cost (ECOST) of supply interruptions and the interrupted energy assessment rate (IEAR) linked with system unreliability are used as reliability worth indices in this thesis. Master of Engineering 2008-10-20T07:18:35Z 2008-10-20T07:18:35Z 1999 1999 Thesis http://hdl.handle.net/10356/13199 en 142 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries
Ou, Yan.
Reliability worth assessment in distribution systems utilizing Monte Carlo simulation techniques
description The basic objective of an electric power system is to provide electric power and energy to its customers at the lowest possible cost and at acceptable levels of reliability. But the two aspects are often in direct conflict and how to balance them is a challenging problem for present power system managers, planners and operators. The reliability assessment part of the problem has been well studied during the past few decades. In contrast, the ability to assess the worth of providing reliable service is not so well established and considerable work is still required. Meanwhile, lowest cost with a reasonable assurance of continuity and quality is fast becoming an important measure in selecting a specific power company by customers in the highly competitive environment. As the distribution system is the vital link between the bulk system and the customers, and previous studies indicate that distribution system makes a significant contribution to overall customer reliability, it becomes absolutely necessary to perform reliability worth assessment in distribution systems. The expected cost (ECOST) of supply interruptions and the interrupted energy assessment rate (IEAR) linked with system unreliability are used as reliability worth indices in this thesis.
author2 Goel, Lalit Kumar
author_facet Goel, Lalit Kumar
Ou, Yan.
format Theses and Dissertations
author Ou, Yan.
author_sort Ou, Yan.
title Reliability worth assessment in distribution systems utilizing Monte Carlo simulation techniques
title_short Reliability worth assessment in distribution systems utilizing Monte Carlo simulation techniques
title_full Reliability worth assessment in distribution systems utilizing Monte Carlo simulation techniques
title_fullStr Reliability worth assessment in distribution systems utilizing Monte Carlo simulation techniques
title_full_unstemmed Reliability worth assessment in distribution systems utilizing Monte Carlo simulation techniques
title_sort reliability worth assessment in distribution systems utilizing monte carlo simulation techniques
publishDate 2008
url http://hdl.handle.net/10356/13199
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