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Risk-based voltage collapse assessment using generalized regression neural network

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dc.citedby0
dc.contributor.authorMarsadek M.en_US
dc.contributor.authorMohamed A.en_US
dc.contributor.authorNopiah Z.M.en_US
dc.contributor.authorid26423183000en_US
dc.contributor.authorid57195440511en_US
dc.contributor.authorid24503340900en_US
dc.date.accessioned2023-12-29T07:48:55Z
dc.date.available2023-12-29T07:48:55Z
dc.date.issued2011
dc.description.abstractThis paper describes the implementation of a fast and accurate intelligent technique using generalized regression neural network to assess the risk of voltage collapse in power systems. The risk of voltage collapse is defined as the product of the probability of transmission line outage and its severity associated with voltage collapse. The effect of weather in the probability of transmission line outage is taken into account in which the failure rate of each transmission line with respect to weather conditions is calculated. A new severity function model that utilises the voltage collapse prediction index is also considered in this assessment method. The performance of the generalised regression neural network is evaluated using mean absolute and mean square errors. The proposed risk based voltage collapse assessment method has been validated on a real power system. � 2011 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo6021767
dc.identifier.doi10.1109/ICEEI.2011.6021767
dc.identifier.scopus2-s2.0-80054027939
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-80054027939&doi=10.1109%2fICEEI.2011.6021767&partnerID=40&md5=051d13d217ea6609b72d90471a9a5896
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30525
dc.sourceScopus
dc.sourcetitleProceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
dc.subjectgeneralised regression neural network
dc.subjectprobability
dc.subjectRisk
dc.subjectseverity
dc.subjectvoltage collapse
dc.subjectElectric lines
dc.subjectElectrical engineering
dc.subjectInformation science
dc.subjectOutages
dc.subjectPower transmission
dc.subjectProbability
dc.subjectRating
dc.subjectRegression analysis
dc.subjectRisk assessment
dc.subjectTransmission line theory
dc.subjectAssessment methods
dc.subjectFailure rate
dc.subjectFunction models
dc.subjectGeneralized regression neural networks
dc.subjectIntelligent techniques
dc.subjectReal power systems
dc.subjectRegression neural networks
dc.subjectRisk-based
dc.subjectseverity
dc.subjectTransmission line
dc.subjectvoltage collapse
dc.subjectWeather conditions
dc.subjectNeural networks
dc.titleRisk-based voltage collapse assessment using generalized regression neural networken_US
dc.typeConference paperen_US
dspace.entity.typePublication
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