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Classification of risk of voltage collapse using risk matrix

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dc.citedby4
dc.contributor.authorAminudin N.en_US
dc.contributor.authorRamli N.M.en_US
dc.contributor.authorMarsadek M.en_US
dc.contributor.authorRamli N.M.en_US
dc.contributor.authorRahman T.K.A.en_US
dc.contributor.authorid24733969500en_US
dc.contributor.authorid56459751800en_US
dc.contributor.authorid26423183000en_US
dc.contributor.authorid56459751800en_US
dc.contributor.authorid8922419700en_US
dc.date.accessioned2023-05-29T06:11:19Z
dc.date.available2023-05-29T06:11:19Z
dc.date.issued2016
dc.descriptionElectric lines; Electric power systems; Monitoring; Outages; Risks; Classification of risk; Conservative approaches; Deterministic approach; Probabilistic methods; Risk classification; Risk matrix; Underlying principles; Voltage collapse; Risk assessmenten_US
dc.description.abstractProbabilistic method or risk assessment has been introduced to enhance deterministic approach in monitoring power system security. In general, risk assessment monitors power system security quantitatively by measuring the product of probability of disturbance to occur and the impact of such disturbance towards security violation. This research is performed to classify the risk of voltage collapse that would occur due to transmission line outage using risk matrix technique. The underlying principle of risk matrix method is to reflect the changes in risk components in the overall system classification assessment. To evaluate the effectiveness of this method, comparative study between risk matrix and conservative method is conducted. Based on the findings, it is revealed that risk matrix offered more comprehensive and reflective results as compared to conservative approach. � 2016 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7754030
dc.identifier.doi10.1109/POWERCON.2016.7754030
dc.identifier.scopus2-s2.0-85006817496
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85006817496&doi=10.1109%2fPOWERCON.2016.7754030&partnerID=40&md5=ee40d983f15b71ac96eaa83f081da06b
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22613
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2016 IEEE International Conference on Power System Technology, POWERCON 2016
dc.titleClassification of risk of voltage collapse using risk matrixen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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