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

A 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. Const...

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Published in:IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) (Online) pp. 1 - 6
Main Authors: Escoto, Esau Figueroa, Leao, Fabio Bertequini
Format: Conference Proceeding
Language:English
Published: IEEE 01.11.2019
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ISSN:2573-0770
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Abstract A 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.
AbstractList A 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.
Author Escoto, Esau Figueroa
Leao, Fabio Bertequini
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  givenname: Fabio Bertequini
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  fullname: Leao, Fabio Bertequini
  organization: São Paulo State University (Unesp),Department of Electrical Engineering,Ilha Solteira-SP,Brazil
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Snippet A new method, based on binary integer programming, to solve the problem of fault section estimation in power systems is developed in this work. This...
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SubjectTerms Electrical power Systems
Fault diagnosis
Fault section estimation
integer programming
Mathematical programming
Title A Binary Integer Linear Programming Model for Fault Section Estimation in Electric Power Systems
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