Risk-based uncertainty of power system using bootstrap technique / Siti Rohani Kasim

The main role of a modern electric power system is to provide cost-effective electrical energy to its customers with a high degree of reliability. Hence, power system utility must ensure that they could provide adequate and quality energy supply to customers. However, this has been a major challengi...

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Main Author:	Kasim, Siti Rohani
Format:	Thesis
Language:	English
Published:	2012
Online Access:	http://ir.uitm.edu.my/id/eprint/17572/ http://ir.uitm.edu.my/id/eprint/17572/2/TM_SITI%20ROHANI%20KASIM%20EE%2012_5.pdf

id	uitm-17572
recordtype	eprints
spelling	uitm-175722018-11-14T07:50:14Z http://ir.uitm.edu.my/id/eprint/17572/ Risk-based uncertainty of power system using bootstrap technique / Siti Rohani Kasim Kasim, Siti Rohani The main role of a modern electric power system is to provide cost-effective electrical energy to its customers with a high degree of reliability. Hence, power system utility must ensure that they could provide adequate and quality energy supply to customers. However, this has been a major challenging issue experienced by most countries as the power system blackout is unexpectedly occurs. There are various approach used to prevent from the occurrence of power system blackout in order to ensure the sustainability and efficiency of energy supply. Generally, power system blackout can be mitigating by having risk assessment analysis. There are various methods used in evaluating the risk of a power system. This research focuses on a method to perform risk assessment of power system that takes into account the system failure indices and uncertainty of unavailable load variations estimated by using the bootstrap technique and fuzzy set technique. The risk of the system is measured by using the expected energy not supplied (EENS) index as well as the probability of load curtailment (PLC). The bootstrap technique is a sampling method which provides simplest way to perform risk assessment of a power system. Furthermore, it also requires very little assumptions to carry-out the risk analysis and it is imperative for a small size of available information. The application of bootstrap technique is important to assess the risk indices at every level of system uncertainty. The IEEE 24-bus Reliability Test System (RTS) and 2737-bus Polish system are used as a case study in the analysis of system risk severity based EENS and PLC. Comparative studies have been made on the risk assessment of the power system determined by using bootstrap technique and fuzzy set which has been developed by other researcher. 2012 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/17572/2/TM_SITI%20ROHANI%20KASIM%20EE%2012_5.pdf Kasim, Siti Rohani (2012) Risk-based uncertainty of power system using bootstrap technique / Siti Rohani Kasim. Masters thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
description	The main role of a modern electric power system is to provide cost-effective electrical energy to its customers with a high degree of reliability. Hence, power system utility must ensure that they could provide adequate and quality energy supply to customers. However, this has been a major challenging issue experienced by most countries as the power system blackout is unexpectedly occurs. There are various approach used to prevent from the occurrence of power system blackout in order to ensure the sustainability and efficiency of energy supply. Generally, power system blackout can be mitigating by having risk assessment analysis. There are various methods used in evaluating the risk of a power system. This research focuses on a method to perform risk assessment of power system that takes into account the system failure indices and uncertainty of unavailable load variations estimated by using the bootstrap technique and fuzzy set technique. The risk of the system is measured by using the expected energy not supplied (EENS) index as well as the probability of load curtailment (PLC). The bootstrap technique is a sampling method which provides simplest way to perform risk assessment of a power system. Furthermore, it also requires very little assumptions to carry-out the risk analysis and it is imperative for a small size of available information. The application of bootstrap technique is important to assess the risk indices at every level of system uncertainty. The IEEE 24-bus Reliability Test System (RTS) and 2737-bus Polish system are used as a case study in the analysis of system risk severity based EENS and PLC. Comparative studies have been made on the risk assessment of the power system determined by using bootstrap technique and fuzzy set which has been developed by other researcher.
format	Thesis
author	Kasim, Siti Rohani
spellingShingle	Kasim, Siti Rohani Risk-based uncertainty of power system using bootstrap technique / Siti Rohani Kasim
author_facet	Kasim, Siti Rohani
author_sort	Kasim, Siti Rohani
title	Risk-based uncertainty of power system using bootstrap technique / Siti Rohani Kasim
title_short	Risk-based uncertainty of power system using bootstrap technique / Siti Rohani Kasim
title_full	Risk-based uncertainty of power system using bootstrap technique / Siti Rohani Kasim
title_fullStr	Risk-based uncertainty of power system using bootstrap technique / Siti Rohani Kasim
title_full_unstemmed	Risk-based uncertainty of power system using bootstrap technique / Siti Rohani Kasim
title_sort	risk-based uncertainty of power system using bootstrap technique / siti rohani kasim
publishDate	2012
url	http://ir.uitm.edu.my/id/eprint/17572/ http://ir.uitm.edu.my/id/eprint/17572/2/TM_SITI%20ROHANI%20KASIM%20EE%2012_5.pdf
first_indexed	2023-09-18T22:58:36Z
last_indexed	2023-09-18T22:58:36Z
_version_	1777418020894801920

Risk-based uncertainty of power system using bootstrap technique / Siti Rohani Kasim

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