Resumen

ROJAS-RIOS, Luis F; LOPEZ-LEZAMA, Jesús M  y  MUNOZ-GALEANO, Nicolás. Optimal Budget Assignment for Service Quality Improvement in Distribution Systems using Non-Dominated Sorting Genetic Algorithm II (NSGAII) and Memetic Algorithm. Inf. tecnol. [online]. 2016, vol.27, n.1, pp.115-126. ISSN 0718-0764.  http://dx.doi.org/10.4067/S0718-07642016000100013.

This paper presents an optimal budget assignment model for improving quality service in distribution systems. The model consists on a multi objective problem which aims at minimizing maintenance costs in distribution systems while maximizing the reduction of faults rate. This last objective is measured through the SAIFI indicator (System Average Interruption Frequency Index). To solve the proposed model two algorithms were implemented: NSGAII (Non-Dominated Sorting Genetic Algorithm II) and a Memetic Algorithm. Several tests were performed with two real electrical systems of 100 and 200 nodes in the Department of Antioquia in Colombia, showing the applicability of the proposed approach. The optimal Pareto fronts obtained in the problem solution show a set of available options that represent a trade-off between both objectives and provides the system operator with an estimate of how much to invest in maintenance to achieve a desired value of the SAIFI indicator.

Palabras clave : memetic algorithm; genetic algorithm; NSGAII; optimization; maintenance budget.

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