| For the application and development of power supply system,the implementation of regular maintenance,is can guarantee the smooth running of a big important measures.With the development of economy in our country,the coverage of the power supply system is more and more widely,due to a sharp rise in the number of power supply equipment,technical requirements for the maintenance of the power supply equipment is also more and more high.If it is in accordance with the traditional way of repair,rely on manual inspection to guarantee the normal operation of the large power system,obviously can not meet the present stage of the substantial requirements of the development of power system.Use of information technology is reasonable and efficient to arrange maintenance plan of power system,can effectively improve the stability of system operation,improve the comprehensive benefit of enterprise.This paper by using multi-objective optimization model,multi-objective combinatorial optimization implementation model in analysis of repair work,aiming at the multiple objective factors influencing the repair work,a multi-objective model calculation,by comparing the advantages and disadvantages of various algorithms,by using the genetic algorithm,the improved genetic algorithm in the population initialization,can solve the optimal solution,using the genetic variation characteristics of genetic algorithm,overcome to overcome the standard number of iterations,as well as the problems in the search process,the simulation results show that the new model by an example of rationality and the effectiveness of the proposed algorithm,the multi-objective optimization in power system maintenance process,realize the reliability maintenance,the actual data and reference example are given in this paper.Finally is concluded in this paper,the proposed model for the optimization of the power supply system is very reliable. |