A Nonlinear Binary Programming Model for Fault Section Estimation in Electric Power Systems

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-11-26T17:48:44Z
dc.date.available2018-11-26T17:48:44Z
dc.date.created2018-11-26T17:48:44Z
dc.date.issued2017-01-01
dc.identifier2017 Ieee International Autumn Meeting On Power, Electronics And Computing (ropec). New York: Ieee, 6 p., 2017.
dc.identifier2381-5515
dc.identifierhttp://hdl.handle.net/11449/164005
dc.identifierWOS:000427915800053
dc.description.abstractThis paper proposes a method to solve the fault section estimation (FSE) problem in power systems by developing a nonlinear binary programming model using the AMPL mathematical programming language. This model is developed based on the minimum set covering problem that contemplates the philosophy and logic of the protection system employed by electrical power companies and associates the alarms of the protective relays reported by the SCADA system with the expected states of the protective relays' functions. The proposed method was evaluated using a benchmark test system found in the related literature and the results show its efficiency, correct diagnosis, computational robustness, with the advantage of not needing to calibrate any control parameter or training in order to solve the fault section estimation problem in power systems.
dc.languageeng
dc.publisherIeee
dc.relation2017 Ieee International Autumn Meeting On Power, Electronics And Computing (ropec)
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectFault diagnosis
dc.subjectFault section estimation
dc.subjectPower Systems Protection
dc.subjectProtective Relaying
dc.titleA Nonlinear Binary Programming Model for Fault Section Estimation in Electric Power Systems
dc.typeActas de congresos


Este ítem pertenece a la siguiente institución