Electric power equipment maintenance schedule optimization is a large-scale combinatorial optimization problem; Overall,the maintenance schedule optimization problem is focused on two aspects: model and algorithm. In modeling,weight coefficient of different optimization goal is hard to quantitative analysis and defined,this paper use Analytic Hierarchy Process(AHP) to establish a hierarchy structure and decompose the goals,use a comparison judgment matrix to determine the weight coefficient,thus accurately reflect the importance of each objective. In algorithm,this paper make many improvements for Genetic Algorithm (GA),including a special set of initial population,SUS to generate parent population,adaptive crossover and mutation coefficient. The improved GA can effectively reduce iteration times,overcome premature and stagnation in search process,and stabilize the optimization results. Simulation results show the reasonability of the new model,and the effectivity of the algorithm.
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