Analysis of power losses in energy transmission systems including linear load by using artificial neural networks

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dc.contributor.authorAta Rasit
dc.contributor.authorGunay Nedim
dc.date.accessioned2024-07-22T08:25:47Z
dc.date.available2024-07-22T08:25:47Z
dc.date.issued1998
dc.description.abstractThis paper presents the application of artificial neural networks(ANN) for analysis of power losses in an energy transmission network. Problem formulation and design of ANN for loss analysis is described. Due to the capability of parallel information processing of the ANN, the proposed method is fast and yet accurate. Active and reactive powers of generators and loads, as well as the magnitudes of voltages at voltage-controlled buses are chosen as inputs to the ANN. System power losses are chosen as the outputs. Training data are obtain by load flow studies. Load flow studies for different system topologies are carried out and the results are compiled to form the training set. Numerical results are presented in the study to demonstrate the effectiveness of the proposed algorithm in terms of accuracy and speed.
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/20582
dc.language.isoEnglish
dc.publisherIEEE
dc.subjectAlgorithms
dc.subjectApproximation theory
dc.subjectElectric generators
dc.subjectElectric load flow
dc.subjectElectric loads
dc.subjectElectric losses
dc.subjectElectric network topology
dc.subjectElectric power transmission networks
dc.subjectFunctions
dc.subjectReactive power
dc.subjectActive power
dc.subjectVoltage controlled buses
dc.subjectNeural networks
dc.titleAnalysis of power losses in energy transmission systems including linear load by using artificial neural networks
dc.typeConference paper

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