Otimização baseada em confiabilidade de planos de manutenção de sistemas de distribuição de energia eletrica / Reliability based optimization of maintenance schedules for electric power distribution systems
AUTOR(ES)
Paulo Alexandre Reis
DATA DE PUBLICAÇÃO
2007
RESUMO
Traditional approaches to electric power distribution systems maintenance are based on activities performed at regular intervals, or scheduled after analysis of needs end priorities identified after inspections. Although these maintenances activities are carried out to improve reliability, usually such approaches do not explicitly consider the impact of maintenance activities on reliability. Maintenance planning can be guided by reliability with recent approaches known as RCM (reliability centered maintenance). A RCM approach tries to establish a rigorous link between maintenance and reliability. This work proposes a reliability centered maintenance approach to unveil the best maintenance schedule for electric power distribution networks; it presents a mathematical model and optimization methods to find the best maintenance schedule along a given planning horizon. The problem is formulated as a combinatorial optimization problem with the objective of finding the maintenance activities that minimize the resources allocated to preventive and corrective maintenance, making sure the system meets a reliability target. The work proposes two heuristic methods to solve the problem: the first one is a GRASP method (Greedy Randomized Adaptive Search Procedure); the other one is an evolutionary computation method with local search. Realistic case studies are used to evaluate both methods. The results highlight meaningful aspects of the proposed approaches
ASSUNTO(S)
energia elétrica - distribuição otimização combinatoria genetic algorithms algoritmos geneticos grasp (sistema operacional de computador) preventive maintenance evolutionary algorithms controle preditivo combinatorial optimization electric power distribution grasp
ACESSO AO ARTIGO
http://libdigi.unicamp.br/document/?code=000440731Documentos Relacionados
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