Optimal Multi-Scenario, Multi-Objective Allocation of Fault Indicators in Electrical Distribution Systems Using a Mixed-Integer Linear Programming Model

In this paper, a mixed-integer nonlinear programming (MINLP) model for the optimal multiscenario allocation of fault indicators (FIs) in electrical distribution systems (EDS) is presented. The original MINLP model is linearized to obtain an equivalent mixed-integer linear programming (MILP) model. T...

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Veröffentlicht in:	IEEE transactions on smart grid Jg. 10; H. 4; S. 4508 - 4519
Hauptverfasser:	Acosta, Jhair S., Lopez, Juan Camilo, Rider, Marcos J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.07.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Allocation of fault indicators Circuit faults electrical distribution systems energy not supplied Indicators Integer programming Interruption costs Linear programming Linearization Maintenance engineering Mathematical model Mixed integer linear programming multi-scenario multi-objective optimization Multiple objective analysis Nonlinear programming Optimization Reliability Resource management Solvers Topology
ISSN:	1949-3053, 1949-3061
Online-Zugang:	Volltext
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