Optimal Location of Protective Devices Using Multi-objective Approach

In this paper a multi-objective model for the problem of optimal location of reclosers and fuses in power electric distribution systems is presented, considering the possibility of fuse rescue through the coordinated operation with reclosers and continuous operation with fuses of repetition. The pro...

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Autores:
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/8911
Acceso en línea:
https://hdl.handle.net/20.500.12585/8911
Palabra clave:
Distribution protection design
MAIFI
NSGA II
SAIFI
Genetic algorithms
Integer programming
Nonlinear programming
Distribution protection
Interruption frequency index
MAIFI
Mixed-integer nonlinear programming
Multi-objective modeling
NSGA II
SAIFI
System average interruption frequency indices
Electric power distribution
Rights
restrictedAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description
Summary:In this paper a multi-objective model for the problem of optimal location of reclosers and fuses in power electric distribution systems is presented, considering the possibility of fuse rescue through the coordinated operation with reclosers and continuous operation with fuses of repetition. The problem is presented based on a mixed integer non-linear programming model with four objectives of minimization: Average System Interruption Frequency Index (ASIFI), System Average Interruption Frequency Index (SAIFI), Momentary Average Interruption Frequency Index (MAIFI) and the cost of the protective elements, and a set of non-linear technical and economic constraints. A Non-dominated Sorted Genetic Algorithm (NSGA II) is used as solution technique. In addition to this, the mathematical model presented for the MAIFI and SAIFI indices, is evaluated in the commercial optimization package of GAMS, in order to meet a global optimum from the one-objective point of view. The methodology proposed is assessed in two test systems from the literature highlight the efficiency of the presented model in improving system reliability while reducing associated costs. © 2018, Springer Nature Switzerland AG.