Maintenance Time Prediction of Flexible AC-DC Hybrid Distribution Substation Based on Multi-objective Particle Swarm Optimization Algorithm
A flexible AC/DC hybrid distribution substation maintenance man-hour prediction method based on multi-objective particle swarm optimization algorithm is designed to solve the problem that it is difficult to obtain accurate man-hour prediction results due to large multi factor constraints when multiple substations need maintenance at the same time.Taking the mainte-nance man-hour as the objective function,the time period in the maintenance process,maintenance mutual exclusion,mainte-nance team resources,etc.as constraints,a maintenance man-hour prediction model of flexible AC/DC hybrid distribution sub-station is established,and the coefficient optimization process of multi-objective particle swarm optimization algorithm is de-signed to complete the maintenance man-hour prediction of substation.The results show that the standard curve correlation co-efficient between the predicted value and the actual value is closer to 1,the average absolute deviation and the average absolute percentage error are smaller,and the prediction deviation is lower.
万方数据
维普
