Planejamento da manutenção de sistemas de distribuição com foco em custos e confiabilidade

Abstract

The present master thesis aims to develop a methodology for the preventive maintenance planning problem in an electricity distribution system, focusing on the reliability and economic criteria supervised by computer equipment. To treat the discrete variables associated with the planning problem, it is proposed the bioinspired metaheuristic known as Artificial Immunological System – AIS, based on the behavior of natural immune systems. The equipment considered for the planning actions are circuit breakers, main feeders, sectionalizing switch, fuses, lateral branches, capacitors banks and distribution transformers. The failure rate and repair time parameters of each equipment mentioned are necessary to calculate cost and the continuity indexes, which are updated according to the plan used in each time interval inside a planning horizon. Different kind of consumers have been considered , including residential, commercial and industrial, representing different economic impacts imposed on each one of these profiles due to the interruption in supply. Thus, the consumers’ profiles affects the calculation of costs associated with the reliability criteria. The solution obtained by the proposed metaheuristic is subject to the limits of the continuity index, determined by the national regulatory agency. Case studies are performed to validate the efficacy of the proposed methodology, including a tutorial case and three systems well known in the technical literature.