Otimização multiobjetivo e lógica fuzzy aplicados ao planejamento integrado de bancos de capacitadores e reguladores de tensão em redes de distribuição.

Abstract

This thesis deals with integrated voltage and reactive power control (volt/var) for radial distribution feeders in planning issues, by means of the application of automatic voltage regulators (AVRs) banks and capacitors. A multiobjective genetic algorithm (SPEA2) improved using fuzzy logic is presented to solve the volt/var problem, since it is a combinatorial multiobjective optimization problem. The expert knowledge is taken into account via fuzzy logic in order to reduce the search space using voltage regulators in standard units as well doing capacitors sensitivity analysis. According to the multiobjective optimization fundamentals, an optimal solution ensemble is obtained, which concomitantly represents the solutions to both objectives, in such a way that the operational constraints of systems are satisfied. The algorithm is evaluated for a known 69- bus feeder in the literature of the subject and to 167-bus real feeder. The obtained results demonstrate that the proposed method provides good concordance between the obtained solution and the Pareto front, correction of voltage profile jointly with losses reduction.