Evaluation of available transfer capability using fuzzy multi-objective contingency-constrained optimal power flow
DC Field | Value | Language |
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dc.contributor.author | Hahn, Tae Kyung | - |
dc.contributor.author | Kim, Mun Kyeom | - |
dc.contributor.author | Hur, Don | - |
dc.contributor.author | Park, Jong-Keun | - |
dc.contributor.author | Yoon, Yong Tae | - |
dc.date.accessioned | 2023-03-07T06:43:09Z | - |
dc.date.available | 2023-03-07T06:43:09Z | - |
dc.date.issued | 2008-05 | - |
dc.identifier.issn | 0378-7796 | - |
dc.identifier.issn | 1873-2046 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/61068 | - |
dc.description.abstract | In trying to determine the available transfer capability (ATC), this paper primarily sets out to develop a fuzzy logic approach to parallelizing contingency-constrained optimal power flow (CCOPF). This algorithm may be used by utilities to optimize economy interchange for severe contingencies analyzed without disclosing details of their operating costs to competitors. In fact, the ultimate objective of fuzzy multi-objective CCOPF (FMCCOPF) is to carry out the minimization of both the base case (pre-contingency) operating cost and the post-contingency correction times as conflicting but fuzzy goals. Besides, the Benders decomposition is applied to partition the fuzzy formulation with contingency constraints, which allows for post-contingency corrective rescheduling, motivated by the improvement of computational efficiency using parallel processing. The feasibility of the proposed method is comprehensively realized by a comparison with the conventional optimal power flow (OPF) and the CCOPF with respect to the same array of transactions, base case, and generator/line outages for the IEEE-30 bus system and the IEEE-118 bus system. (c) 2008 Published by Elsevier B.V. | - |
dc.format.extent | 10 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | ELSEVIER SCIENCE SA | - |
dc.title | Evaluation of available transfer capability using fuzzy multi-objective contingency-constrained optimal power flow | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.epsr.2007.06.004 | - |
dc.identifier.bibliographicCitation | ELECTRIC POWER SYSTEMS RESEARCH, v.78, no.5, pp 873 - 882 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000254816600011 | - |
dc.identifier.scopusid | 2-s2.0-39949084313 | - |
dc.citation.endPage | 882 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 873 | - |
dc.citation.title | ELECTRIC POWER SYSTEMS RESEARCH | - |
dc.citation.volume | 78 | - |
dc.type.docType | Article | - |
dc.publisher.location | 스위스 | - |
dc.subject.keywordAuthor | available transfer capability | - |
dc.subject.keywordAuthor | Benders decomposition | - |
dc.subject.keywordAuthor | contingency-constrained optimal power flow | - |
dc.subject.keywordAuthor | fuzzy logic | - |
dc.subject.keywordAuthor | multi-objective optimization | - |
dc.subject.keywordPlus | SECURITY | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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