Planejamento ótimo de filtros harmônicos passivos em sistemas de distribuição de energia elétrica: uma abordagem com algoritmos evolutivos.

Abstract

The use of passive harmonic filters is a classic solution to reduce the harmonic distortion in electric distribution systems. However, the planning of multiple harmonic filters in distribution systems is not a simple task, due the particular characteristics of loads and distribution system. At present state of art, this thesis show the developing of an algorithm to realize the optimal planning of multiple passive harmonic filters in radial distribution systems, using evolutionary algorithms to minimize the total voltage harmonic distortion, and satisfy, at same time, the normal operational conditions. The developed algorithm stand out by use, simultaneously: optimized evolutionary algorithms that find possible solutions of the passive harmonic planning optimization problem; the use of multiobjective fitness function in the optimization process; an optimized algorithm to harmonic analysis in radial systems, with application of models compatible with practical data; different models of linear load; consideration of linear and nonlinear load variations; and the application of different strategies on the planning of passive harmonic filters.