Ga-based passive loop optimization for magnetic field mitigation of transmission lines

Authors:
Pedro Cruz;Jesús M. Riquelme;Antonio de la Villa;José L. Martínez
Affiliations:
Departamento de Ingeniería Eléctrica, Escuela Superior de Ingenieros Camino de los Descubrimientos s/n, 41092 Sevilla, Spain;Departamento de Ingeniería Eléctrica, Escuela Superior de Ingenieros Camino de los Descubrimientos s/n, 41092 Sevilla, Spain;Departamento de Ingeniería Eléctrica, Escuela Superior de Ingenieros Camino de los Descubrimientos s/n, 41092 Sevilla, Spain;Departamento de Ingeniería Eléctrica, Escuela Superior de Ingenieros Camino de los Descubrimientos s/n, 41092 Sevilla, Spain
Venue:
Neurocomputing
Year:
2007

Citing 3
Cited 0

Optimization of control parameters for genetic algorithms

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Genetic algorithms

Dr. Dobb's Journal
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning

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Abstract

This paper presents a systematic method to assist in the design of passive loops with the aim of mitigating the magnetic field generated by overhead transmission lines. The procedure is based on a two-dimensional (2D) modeling of the magnetic field, using a genetic algorithm (GA) to obtain the optimal mitigation design both for non-compensated and compensated coils. The proposed technique is applied to a horizontal line using three different passive mitigating configurations. Numerical results of the convergence and mitigation effectiveness, as well as discussion of the results, are provided.