Método de otimização de custos de confiabilidade de sistemas de distribuição considerando geradores móveis de emergência

Abstract

This work presents a new method for the minimization of reliability costs of distribution systems (DSs) through switches reallocation, which uses genetic algorithms to find the best solutions for the switch placement problem, when mobile emergency generators (MEG) are available for use. MEGs can be used as versatile reliability enhancers in a DS, because differently from fixed distributed generation (DG), they have mobility and can be easily connected in different parts of a feeder during different faults. In order to achieve this goal, it is also presented a fault simulation method for reliability analysis and a MEG pre-positioning strategy which aims to obtain the near optimal initial position for the MEG in the network, focusing to minimize the interruption response time. By using the proposed method, reliability indices and/or costs of a DS can be greatly improved. Simulations on feeders (including real ones) are done, and the results show significant improvements for the tested feeders.