Research On Multi-Objective Optimization Of Catenary System Maintenance Plan

T With the increasing mileage of high-speed rail operation in China,there are higher requirements for the safe operation of traction power supply system.As an important subsystem of traction power supply system,the importance of stable operation of contact network system is self-evident.The reliability of the contact network system and the cost of maintenance are conflicting engineering indicators.In order to provide decision-makers with reasonable and diverse maintenance plans.In this thesis,seven main components of contact network system are selected,and the fault model of single power supply zone contact network is analyzed by Petri net analysis method,and the fault model of contact network is established.Establish the relationship between the reliability of a single device state,the overall reliability of the contact network system,the mode of maintenance,and the maintenance plan.The deterioration status of the system is divided into four categories.The concept of random Markov process is introduced to improve the deterioration model of contact network components.On this basis,the failure mode and reliability analysis of the contact network system are carried out,the existing maintenance measures are contacted,and the contact network system is defined as a series repairable system.Based on the distribution of equipment status and corresponding maintenance measures in different states,the reliability of the contact network system and its corresponding maintenance cost model are formed.On the basis of NSGAII algorithm,the reference value of elite retention policy is a fixed value,so it is impossible to dynamically select the range of solutions to be retained by descendants.In this thesis,an adaptive operator is introduced in the elite selection process to ensure the individual diversity in the offspring.Combined with this example,the r-dominance algorithm is introduced to solve the problem that the decision maker chooses a wide range of solutions and has no reference value after the algorithm is optimized.This dominance leads the algorithm to quickly search for preferred areas that decision makers want.The improved ER-NSGAII algorithm is tested with the traditional NSGAII algorithm,and the advantages of the improved algorithm are proved.An optimization algorithm is used to optimize the relationship between the reliability of the contact network system and the maintenance cost.From the results,the improved algorithm improves the convergence speed and reduces the scope of the optimal solution set.Provides a more scientific reference for decision makers.The relationship between catenary system reliability and maintenance cost is optimized by using an optimization algorithm.The results show that the improved algorithm can improve the convergence speed and reduce the range of the optimal solution.Provide a more scientific reference for decision makers.