Fault effect analysis based on elements loadability to evaluate reliability in power systems
This paper presents a fault effect analysis (FEA) based on element loadability as a complement tool to evaluate reliability and identify vulnerable points in power systems. The steps of the method are the calculation of overloaded elements after contingencies, determination of the FEA based on eleme...
- Autores:
-
Mantilla Florez, Bleidy Hanna
Silva Ortega, Jorge I
Candelo Becerra, John Edwin
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2018
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7650
- Acceso en línea:
- https://hdl.handle.net/11323/7650
https://repositorio.cuc.edu.co/
- Palabra clave:
- Power system reliability
Reliability
Silicon compounds
IEEE transactions
Silicon
Tools
- Rights
- openAccess
- License
- Attribution-NonCommercial-ShareAlike 4.0 International
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| dc.title.spa.fl_str_mv |
Fault effect analysis based on elements loadability to evaluate reliability in power systems |
| title |
Fault effect analysis based on elements loadability to evaluate reliability in power systems |
| spellingShingle |
Fault effect analysis based on elements loadability to evaluate reliability in power systems Power system reliability Reliability Silicon compounds IEEE transactions Silicon Tools |
| title_short |
Fault effect analysis based on elements loadability to evaluate reliability in power systems |
| title_full |
Fault effect analysis based on elements loadability to evaluate reliability in power systems |
| title_fullStr |
Fault effect analysis based on elements loadability to evaluate reliability in power systems |
| title_full_unstemmed |
Fault effect analysis based on elements loadability to evaluate reliability in power systems |
| title_sort |
Fault effect analysis based on elements loadability to evaluate reliability in power systems |
| dc.creator.fl_str_mv |
Mantilla Florez, Bleidy Hanna Silva Ortega, Jorge I Candelo Becerra, John Edwin |
| dc.contributor.author.spa.fl_str_mv |
Mantilla Florez, Bleidy Hanna Silva Ortega, Jorge I Candelo Becerra, John Edwin |
| dc.subject.spa.fl_str_mv |
Power system reliability Reliability Silicon compounds IEEE transactions Silicon Tools |
| topic |
Power system reliability Reliability Silicon compounds IEEE transactions Silicon Tools |
| description |
This paper presents a fault effect analysis (FEA) based on element loadability as a complement tool to evaluate reliability and identify vulnerable points in power systems. The steps of the method are the calculation of overloaded elements after contingencies, determination of the FEA based on element loadability, selection of critical overloaded elements, and evaluation of system reliability by considering the energy not supplied (ENS). A simplified transmission and distribution (T and D) power system with 30 nodes was used as study case for the method. The results show that the loadability percentage of transformers and power lines are calculated successfully for the N-1 contingency analysis performed in the network and the method selects the elements with higher loadability values, evaluating the impact that each critical contingency generates on the power system reliability. The method can be used to prioritize remedial actions for critical elements on power systems. |
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2018 |
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2018-10 |
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2020-12-30T14:58:55Z |
| dc.date.available.none.fl_str_mv |
2020-12-30T14:58:55Z |
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Artículo de revista |
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Text |
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http://purl.org/redcol/resource_type/ART |
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1548-0992 |
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https://hdl.handle.net/11323/7650 |
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10.1109/TLA.2018.8795146 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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1548-0992 10.1109/TLA.2018.8795146 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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https://hdl.handle.net/11323/7650 https://repositorio.cuc.edu.co/ |
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eng |
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eng |
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Attribution-NonCommercial-ShareAlike 4.0 International |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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Corporación Universidad de la Costa |
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IEEE Latin America Transactions ( Volume: 16, Issue: 10, October 2018) |
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Corporación Universidad de la Costa |
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Mantilla Florez, Bleidy HannaSilva Ortega, Jorge ICandelo Becerra, John Edwin2020-12-30T14:58:55Z2020-12-30T14:58:55Z2018-101548-0992https://hdl.handle.net/11323/765010.1109/TLA.2018.8795146Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This paper presents a fault effect analysis (FEA) based on element loadability as a complement tool to evaluate reliability and identify vulnerable points in power systems. The steps of the method are the calculation of overloaded elements after contingencies, determination of the FEA based on element loadability, selection of critical overloaded elements, and evaluation of system reliability by considering the energy not supplied (ENS). A simplified transmission and distribution (T and D) power system with 30 nodes was used as study case for the method. The results show that the loadability percentage of transformers and power lines are calculated successfully for the N-1 contingency analysis performed in the network and the method selects the elements with higher loadability values, evaluating the impact that each critical contingency generates on the power system reliability. The method can be used to prioritize remedial actions for critical elements on power systems.Mantilla Florez, Bleidy Hanna-will be generated-orcid-0000-0002-0068-9034-600Silva Ortega, Jorge I-will be generated-orcid-0000-0002-7813-0142-600Candelo Becerra, John Edwin-will be generated-orcid-0000-0002-9784-9494-600application/pdfengCorporación Universidad de la CostaAttribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2IEEE Latin America Transactions ( Volume: 16, Issue: 10, October 2018)https://ieeexplore.ieee.org/abstract/document/8795146Power system reliabilityReliabilitySilicon compoundsIEEE transactionsSiliconToolsFault effect analysis based on elements loadability to evaluate reliability in power systemsArtículo de 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