Security dispatch using the Hopfield neural network

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dc.authorid0000-0002-8291-1419
dc.contributor.authorYalcinoz, T
dc.contributor.authorShort, MJ
dc.contributor.authorCory, BJ
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued1999
dc.departmentNiğde ÖHÜ
dc.description.abstractA restructuring of the improved Hopfield neural network (NN) approach, which has previously been proposed for solving economic dispatch, is proposed for solving real time economic dispatch problem with security constraints. A new mapping process is formulated and a computational method for obtaining the weights and biases is described using a slack variable technique for handling inequality constraints. Side constraints are handled by a modified activation function for which a symmetric ramp function is chosen for the input-output function and applied to each element of the variable set. The Hopfield NN approach is tested on the IEEE 30-bus system for different demands.
dc.identifier.doi10.1049/ip-gtd:19990506
dc.identifier.endpage470
dc.identifier.issn1350-2360
dc.identifier.issue5
dc.identifier.scopus2-s2.0-0000002834
dc.identifier.scopusqualityN/A
dc.identifier.startpage465
dc.identifier.urihttps://dx.doi.org/10.1049/ip-gtd:19990506
dc.identifier.urihttps://hdl.handle.net/11480/5796
dc.identifier.volume146
dc.identifier.wosWOS:000088478500010
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherIEE-INST ELEC ENG
dc.relation.ispartofIEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.titleSecurity dispatch using the Hopfield neural network
dc.typeArticle

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