Application of bootstrap technique in power system risk assessment
This paper presents the 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. The risk of the system is measured by using the expected energy not supplied (EENS) index as well as t...
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creator | Kasim, S R Othman, M M Ghani, N F A Musirin, I |
description | This paper presents the 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. 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 tool 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) is 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 the bootstrap technique and fuzzy set. |
doi_str_mv | 10.1109/PEOCO.2010.5559246 |
format | Conference Proceeding |
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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 tool 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) is 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 the bootstrap technique and fuzzy set.</description><identifier>ISBN: 9781424471270</identifier><identifier>ISBN: 1424471273</identifier><identifier>EISBN: 9781424471263</identifier><identifier>EISBN: 1424471281</identifier><identifier>EISBN: 1424471265</identifier><identifier>EISBN: 9781424471287</identifier><identifier>DOI: 10.1109/PEOCO.2010.5559246</identifier><language>eng</language><publisher>IEEE</publisher><subject>Bootstrap technique ; Distribution functions ; Equations ; expected energy not supplied ; Mathematical model ; Power transmission lines ; probability of load curtailment ; risk assessment ; Risk management ; Uncertainty</subject><ispartof>2010 4th International Power Engineering and Optimization Conference (PEOCO), 2010, p.82-88</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5559246$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2057,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5559246$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kasim, S R</creatorcontrib><creatorcontrib>Othman, M M</creatorcontrib><creatorcontrib>Ghani, N F A</creatorcontrib><creatorcontrib>Musirin, I</creatorcontrib><title>Application of bootstrap technique in power system risk assessment</title><title>2010 4th International Power Engineering and Optimization Conference (PEOCO)</title><addtitle>PEOCO</addtitle><description>This paper presents the 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. 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 tool 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) is 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 the bootstrap technique and fuzzy set.</description><subject>Bootstrap technique</subject><subject>Distribution functions</subject><subject>Equations</subject><subject>expected energy not supplied</subject><subject>Mathematical model</subject><subject>Power transmission lines</subject><subject>probability of load curtailment</subject><subject>risk assessment</subject><subject>Risk management</subject><subject>Uncertainty</subject><isbn>9781424471270</isbn><isbn>1424471273</isbn><isbn>9781424471263</isbn><isbn>1424471281</isbn><isbn>1424471265</isbn><isbn>9781424471287</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVj8tOwzAURI0QEqjkB2DjH0jx9SOJlyUqD6lSWHRfOfG1MDQPco1Q_55IdMNsRmdzNMPYHYg1gLAPb9umbtZSLGyMsVIXFyyzZQVaal2CLNTlPy7FNcuIPsQSbaTR-oY9bqbpGDuX4jjwMfB2HBOl2U08Yfc-xK9v5HHg0_iDM6cTJez5HOmTOyIk6nFIt-wquCNhdu4V2z9t9_VLvmueX-vNLo9WpNwHjTJIsUwxzgcPRivvhMWusm0oADCUYA16lKoMFqtOBwwtghfQtUqoFbv_00ZEPExz7N18OpyPq1_j7024</recordid><startdate>201006</startdate><enddate>201006</enddate><creator>Kasim, S R</creator><creator>Othman, M M</creator><creator>Ghani, N F A</creator><creator>Musirin, I</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201006</creationdate><title>Application of bootstrap technique in power system risk assessment</title><author>Kasim, S R ; Othman, M M ; Ghani, N F A ; Musirin, I</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-df4e2f202445adfd1543da09ec89bf611ef7195ede237f9e8c4fefbe1d01cb303</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Bootstrap technique</topic><topic>Distribution functions</topic><topic>Equations</topic><topic>expected energy not supplied</topic><topic>Mathematical model</topic><topic>Power transmission lines</topic><topic>probability of load curtailment</topic><topic>risk assessment</topic><topic>Risk management</topic><topic>Uncertainty</topic><toplevel>online_resources</toplevel><creatorcontrib>Kasim, S R</creatorcontrib><creatorcontrib>Othman, M M</creatorcontrib><creatorcontrib>Ghani, N F A</creatorcontrib><creatorcontrib>Musirin, I</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kasim, S R</au><au>Othman, M M</au><au>Ghani, N F A</au><au>Musirin, I</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Application of bootstrap technique in power system risk assessment</atitle><btitle>2010 4th International Power Engineering and Optimization Conference (PEOCO)</btitle><stitle>PEOCO</stitle><date>2010-06</date><risdate>2010</risdate><spage>82</spage><epage>88</epage><pages>82-88</pages><isbn>9781424471270</isbn><isbn>1424471273</isbn><eisbn>9781424471263</eisbn><eisbn>1424471281</eisbn><eisbn>1424471265</eisbn><eisbn>9781424471287</eisbn><abstract>This paper presents the 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. 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 tool 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) is 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 the bootstrap technique and fuzzy set.</abstract><pub>IEEE</pub><doi>10.1109/PEOCO.2010.5559246</doi><tpages>7</tpages></addata></record> |
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subjects | Bootstrap technique Distribution functions Equations expected energy not supplied Mathematical model Power transmission lines probability of load curtailment risk assessment Risk management Uncertainty |
title | Application of bootstrap technique in power system risk assessment |
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