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dc.contributor.authorEchavarren Cerezo, Franciscoes-ES
dc.contributor.authorRouco Rodríguez, Luises-ES
dc.contributor.authorUrretavizcaya Tato, Martaes-ES
dc.contributor.authorLumbreras Sancho, Saraes-ES
dc.date.accessioned2021-06-07T12:07:40Z-
dc.date.available2021-06-07T12:07:40Z-
dc.identifier.urihttp://hdl.handle.net/11531/56200-
dc.description.abstractes-ES
dc.description.abstractTotal Transfer Capability (TTC) is defined as the amount of electric power that can be transferred between two interconnected transmission networks under some established security system conditions such as maximum power flow through branches. It has important implications for both technical and economic analyses. The main technique used to calculate TTC is the Continuation Power Flow (CPF) technique. CPF computes progressive power flow solutions as the energy transferred increases from zero to full capability. CPF consists of two main steps, predictor and corrector. Tangent approximations generally work properly as predictor step. However, under certain conditions, power flows through branches present a highly nonlinearbehavior. This paper presents a novel predictor for TTC that solves this issue by using a parabolic predictor instead of a tangent approximation and demonstrates it on the IEEE 39 buses test network.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.titleA parabolic predictor for more efficient calculation of total transfer capabilityes_ES
dc.typeinfo:eu-repo/semantics/workingPaperes_ES
dc.description.versioninfo:eu-repo/semantics/draftes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywordses-ES
dc.keywordscontinuation power flow; parabolic predictor; system security; total transfer capability.en-GB
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