Cover Image

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...

Full description

Saved in:
Bibliographic Details
Main Author: Kasim, Siti Rohani
Format: Thesis
Language:English
Published: 2012
Online Access:http://ir.uitm.edu.my/id/eprint/17572/2/TM_SITI%20ROHANI%20KASIM%20EE%2012_5.pdf
http://ir.uitm.edu.my/id/eprint/17572/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.17572
record_format eprints
spelling my.uitm.ir.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.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
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/17572/2/TM_SITI%20ROHANI%20KASIM%20EE%2012_5.pdf
http://ir.uitm.edu.my/id/eprint/17572/
_version_ 1685648961559330816
score 13.211869

Similar Items