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

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2021-06-25T12:19:24Z
dc.date.accessioned2022-12-19T22:53:04Z
dc.date.available2021-06-25T12:19:24Z
dc.date.available2022-12-19T22:53:04Z
dc.date.created2021-06-25T12:19:24Z
dc.date.issued2019-01-01
dc.identifier2019 Ieee International Autumn Meeting On Power, Electronics And Computing (ropec 2019). New York: Ieee, 6 p., 2019.
dc.identifier2381-5515
dc.identifierhttp://hdl.handle.net/11449/209461
dc.identifierWOS:000569520800071
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5390059
dc.description.abstractA new method, based on binary integer programming, to solve the problem of fault section estimation in power systems is developed in this work. This optimization model is formulated based on a set of minimum covers, subject to logical protection constraints applied by electric power companies. Constraints of this formulation, compares protection relay alarms reported from the SCADA system with the expected states of the protection relay functions allocated in power system. Naturally, the proposed problem is a complex binary integer nonlinear programming model. In order to apply classical optimization techniques, this model is recast as binary integer linear programming model. Numerical results show the effectiveness, applicability and robustness of the presented strategy by using a 7-bus test system.
dc.languageeng
dc.publisherIeee
dc.relation2019 Ieee International Autumn Meeting On Power, Electronics And Computing (ropec 2019)
dc.sourceWeb of Science
dc.subjectFault diagnosis
dc.subjectFault section estimation
dc.subjectMathematical programming
dc.subjectElectrical power Systems
dc.subjectinteger programming
dc.titleA Binary Integer Linear Programming Model for Fault Section Estimation in Electric Power Systems
dc.typeActas de congresos


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