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.
维普
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