Reliability evaluation of generating systems considering aging processes
•A new method that allows the effects of generator aging to be included in the reliability analysis of power systems is proposed.•A novel model for the failure rate capable of representing the stages of normal operation and wear-out is described.•Catastrophic failures and equipment refurbishing acti...
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Veröffentlicht in: | Electric power systems research 2022-01, Vol.202, p.107589, Article 107589 |
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creator | Leite da Silva, Armando M. Araújo, Laís F. de C․ Costa, João Guilherme |
description | •A new method that allows the effects of generator aging to be included in the reliability analysis of power systems is proposed.•A novel model for the failure rate capable of representing the stages of normal operation and wear-out is described.•Catastrophic failures and equipment refurbishing actions are also included in the proposed method.•The new method is built using a chronological Monte Carlo simulation and variance reduction techniques.•The aging of components can cause significant reductions in the reliability of generating systems.
Equipment aging has been a major concern among electric utilities’ planners, since quality of service can be put at risk. This paper proposes a new method that allows the effects of the aging of generators to be properly included into the reliability analysis of power systems. First, a new model for the failure rate capable of representing the stages of normal operation and wear-out, replacing the adoption of constant failure rates, is described. The effects of repairable and non-repairable (i.e., catastrophic) failures on the reliability assessment of generation systems are also discussed. The proposed method is built from the previous models using a sequential Monte Carlo simulation and variance reduction techniques. To validate the proposed method, the IEEE Reliability Test System is used with modifications in which different ages are defined for existing generating units that are progressively aging over the years. Several tests are described together with strategies for adopting preventive refurbishments and the corresponding results are duly discussed. |
doi_str_mv | 10.1016/j.epsr.2021.107589 |
format | Article |
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Equipment aging has been a major concern among electric utilities’ planners, since quality of service can be put at risk. This paper proposes a new method that allows the effects of the aging of generators to be properly included into the reliability analysis of power systems. First, a new model for the failure rate capable of representing the stages of normal operation and wear-out, replacing the adoption of constant failure rates, is described. The effects of repairable and non-repairable (i.e., catastrophic) failures on the reliability assessment of generation systems are also discussed. The proposed method is built from the previous models using a sequential Monte Carlo simulation and variance reduction techniques. To validate the proposed method, the IEEE Reliability Test System is used with modifications in which different ages are defined for existing generating units that are progressively aging over the years. Several tests are described together with strategies for adopting preventive refurbishments and the corresponding results are duly discussed.</description><identifier>ISSN: 0378-7796</identifier><identifier>EISSN: 1873-2046</identifier><identifier>DOI: 10.1016/j.epsr.2021.107589</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Aging ; Catastrophic failure analysis ; Electric utilities ; Equipment aging ; Failure rates ; Generating system ; Monte Carlo simulation ; Older people ; Reliability ; Reliability analysis ; Simulation ; System reliability ; Systems analysis ; Variance reduction techniques</subject><ispartof>Electric power systems research, 2022-01, Vol.202, p.107589, Article 107589</ispartof><rights>2021 Elsevier B.V.</rights><rights>Copyright Elsevier Science Ltd. Jan 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c328t-a7f3f48e7c4a3982c71a37cf4e92ada46e66cd872d20bf3c3eaeb30f5347cc8f3</citedby><cites>FETCH-LOGICAL-c328t-a7f3f48e7c4a3982c71a37cf4e92ada46e66cd872d20bf3c3eaeb30f5347cc8f3</cites><orcidid>0000-0002-4749-3303</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0378779621005708$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Leite da Silva, Armando M.</creatorcontrib><creatorcontrib>Araújo, Laís F.</creatorcontrib><creatorcontrib>de C․ Costa, João Guilherme</creatorcontrib><title>Reliability evaluation of generating systems considering aging processes</title><title>Electric power systems research</title><description>•A new method that allows the effects of generator aging to be included in the reliability analysis of power systems is proposed.•A novel model for the failure rate capable of representing the stages of normal operation and wear-out is described.•Catastrophic failures and equipment refurbishing actions are also included in the proposed method.•The new method is built using a chronological Monte Carlo simulation and variance reduction techniques.•The aging of components can cause significant reductions in the reliability of generating systems.
Equipment aging has been a major concern among electric utilities’ planners, since quality of service can be put at risk. This paper proposes a new method that allows the effects of the aging of generators to be properly included into the reliability analysis of power systems. First, a new model for the failure rate capable of representing the stages of normal operation and wear-out, replacing the adoption of constant failure rates, is described. The effects of repairable and non-repairable (i.e., catastrophic) failures on the reliability assessment of generation systems are also discussed. The proposed method is built from the previous models using a sequential Monte Carlo simulation and variance reduction techniques. To validate the proposed method, the IEEE Reliability Test System is used with modifications in which different ages are defined for existing generating units that are progressively aging over the years. Several tests are described together with strategies for adopting preventive refurbishments and the corresponding results are duly discussed.</description><subject>Aging</subject><subject>Catastrophic failure analysis</subject><subject>Electric utilities</subject><subject>Equipment aging</subject><subject>Failure rates</subject><subject>Generating system</subject><subject>Monte Carlo simulation</subject><subject>Older people</subject><subject>Reliability</subject><subject>Reliability analysis</subject><subject>Simulation</subject><subject>System reliability</subject><subject>Systems analysis</subject><subject>Variance reduction techniques</subject><issn>0378-7796</issn><issn>1873-2046</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kE9LxDAQxYMouK5-AU8Fz13zp01S8CKLusKCIHoO2XSypHTbNdMu7Lc3pZ69zDCP92aGHyH3jK4YZfKxWcER44pTzpKgSl1dkAXTSuScFvKSLKhQOleqktfkBrGhlMpKlQuy-YQ22F1ow3DO4GTb0Q6h77LeZ3voIKap22d4xgEOmLm-w1BDnDS7n-ox9g4QAW_Jlbctwt1fX5Lv15ev9Sbffry9r5-3uRNcD7lVXvhCg3KFFZXmTjErlPMFVNzWtpAgpau14jWnOy-cAAs7QX0pCuWc9mJJHua96fLPCDiYph9jl04aLpnkXBelTC4-u1zsESN4c4zhYOPZMGomYqYxEzEzETMzsRR6mkOQ_j8FiAZdgM5BHSK4wdR9-C_-C6w4dkM</recordid><startdate>202201</startdate><enddate>202201</enddate><creator>Leite da Silva, Armando M.</creator><creator>Araújo, Laís F.</creator><creator>de C․ Costa, João Guilherme</creator><general>Elsevier B.V</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-4749-3303</orcidid></search><sort><creationdate>202201</creationdate><title>Reliability evaluation of generating systems considering aging processes</title><author>Leite da Silva, Armando M. ; Araújo, Laís F. ; de C․ Costa, João Guilherme</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c328t-a7f3f48e7c4a3982c71a37cf4e92ada46e66cd872d20bf3c3eaeb30f5347cc8f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aging</topic><topic>Catastrophic failure analysis</topic><topic>Electric utilities</topic><topic>Equipment aging</topic><topic>Failure rates</topic><topic>Generating system</topic><topic>Monte Carlo simulation</topic><topic>Older people</topic><topic>Reliability</topic><topic>Reliability analysis</topic><topic>Simulation</topic><topic>System reliability</topic><topic>Systems analysis</topic><topic>Variance reduction techniques</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Leite da Silva, Armando M.</creatorcontrib><creatorcontrib>Araújo, Laís F.</creatorcontrib><creatorcontrib>de C․ Costa, João Guilherme</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Electric power systems research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Leite da Silva, Armando M.</au><au>Araújo, Laís F.</au><au>de C․ Costa, João Guilherme</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reliability evaluation of generating systems considering aging processes</atitle><jtitle>Electric power systems research</jtitle><date>2022-01</date><risdate>2022</risdate><volume>202</volume><spage>107589</spage><pages>107589-</pages><artnum>107589</artnum><issn>0378-7796</issn><eissn>1873-2046</eissn><abstract>•A new method that allows the effects of generator aging to be included in the reliability analysis of power systems is proposed.•A novel model for the failure rate capable of representing the stages of normal operation and wear-out is described.•Catastrophic failures and equipment refurbishing actions are also included in the proposed method.•The new method is built using a chronological Monte Carlo simulation and variance reduction techniques.•The aging of components can cause significant reductions in the reliability of generating systems.
Equipment aging has been a major concern among electric utilities’ planners, since quality of service can be put at risk. This paper proposes a new method that allows the effects of the aging of generators to be properly included into the reliability analysis of power systems. First, a new model for the failure rate capable of representing the stages of normal operation and wear-out, replacing the adoption of constant failure rates, is described. The effects of repairable and non-repairable (i.e., catastrophic) failures on the reliability assessment of generation systems are also discussed. The proposed method is built from the previous models using a sequential Monte Carlo simulation and variance reduction techniques. To validate the proposed method, the IEEE Reliability Test System is used with modifications in which different ages are defined for existing generating units that are progressively aging over the years. Several tests are described together with strategies for adopting preventive refurbishments and the corresponding results are duly discussed.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.epsr.2021.107589</doi><orcidid>https://orcid.org/0000-0002-4749-3303</orcidid></addata></record> |
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subjects | Aging Catastrophic failure analysis Electric utilities Equipment aging Failure rates Generating system Monte Carlo simulation Older people Reliability Reliability analysis Simulation System reliability Systems analysis Variance reduction techniques |
title | Reliability evaluation of generating systems considering aging processes |
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