Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/59547
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dc.contributor.authorWeerakorn Ongsakulen_US
dc.contributor.authorPeerepol Jirapongen_US
dc.date.accessioned2018-09-10T03:17:00Z-
dc.date.available2018-09-10T03:17:00Z-
dc.date.issued2009-08-10en_US
dc.identifier.issn14728923en_US
dc.identifier.other2-s2.0-68149138613en_US
dc.identifier.other10.1504/IJETP.2009.027281en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=68149138613&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/59547-
dc.description.abstractAn Improved Evolutionary Programming (IEP) is proposed to determine the optimal placement of multi-type Flexible AC Transmission Systems (FACTS) devices for maximising Total Transfer Capability (TTC) of power transactions. IEP simultaneously searches for types, locations, and parameters of FACTS devices, real power generations in source area, real power loads in sink area, and generation bus voltages to evaluate the feasible TTC value within power system constraints and FACTS devices operating limits. Test results on the modified IEEE 30- and 118-bus systems indicate that optimally placed optimal power flow (OPF) with FACTS by IEP could enhance TTC value far more than OPF without FACTS. Copyright © 2009, Inderscience Publishers.en_US
dc.subjectEnergyen_US
dc.subjectSocial Sciencesen_US
dc.titleOptimal placement of multi-type FACTS devices to enhance total transfer capability using improved evolutionary programmingen_US
dc.typeJournalen_US
article.title.sourcetitleInternational Journal of Energy Technology and Policyen_US
article.volume7en_US
article.stream.affiliationsAsian Institute of Technology Thailanden_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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