Research And Application Of Distribution Network Maintenance Strategy Based On Ant Colony Algorithm

As a major substation equipment of the power system,the large-scale power transformer is directly related to the safe and stable operation of the power system.The equipment failure will cause serious safety accidents,production losses and excessive maintenance costs.How to evaluate the health status of the transformer and make a reasonable prediction of its remaining service life to ensure the safe operation of the transformer,thereby prolonging its service life and maximizing the economic and social benefits of the use of the transformer.Hot issue.In this paper,the "equipment health index" and "equivalent age of entry" parameters are used to calculate the failure rate of equipment during different maintenance periods,and the failure rate curve is comprehensively analyzed to formulate maintenance strategies;respectively,"health repair factor" is cited,"service age backtracking" The factor "reflects the failure rate and degree of repair of various maintenance on the equipment.According to the background of multiple maintenance methods in the current distribution network,a state maintenance model based on minimum cost is constructed.The model is optimized in the practical application with the minimum cost in the cycle as the goal.The reliability is solved as a constraint model.The maintenance cycle interval under different conditions.Based on the research results,a set of equipment state maintenance assistant decision-making software using C/S structure was designed and developed.The main functions include information management,reliability analysis and equipment maintenance plan decision of power distribution equipment.The comprehensive analysis of the failure rate method makes up for the lack of consideration of the current state of the power state in many maintenance models.And building the model proves the validity of the model in practice.The decision replication system assists the distribution maintenance personnel in developing a scientific state maintenance plan.