Programación óptima del mantenimiento de la vegetación bajo redes aéreas de distribución usando una técnica de optimización multiobjetivo

Abstract

One of the major causes for the interruption of power service supply is the contact between vegetation and the power distribution lines. In this paper, two multiobjective mathematical models are proposed to minimize the vegetation negative impact on the electricity network quality, minimizing in turn, the cost of the vegetation pruning. In the first mathematical model, the level of energy not served due the failures from vegetation is minimized and in the second one the average percentage of violation into the safe zone between the vegetation and the overhead power distribution systems is minimized. In both models, the second objective function is to minimize the cost of maintenance of vegetation, considering restrictions associated with equipment availability, reliability in the electrical service and maximum number of prunings on a network segment for the period of vegetation maintenance planning. The scheduling result is pruning activities for a planning period of one year. The elitist non-dominated sorting genetic algorithm (NSGA-II) is the multi-objective optimization technique used to solve this problem on a test system.