An Optimization of Maintenance Time Decision for Distribution Feeders Based on Equipment Health Index

Abstract

With the development of device condition monitoring and evaluating, fault diagnosis and forecast, the condition based maintenance (CBM) has been gradually popularized and applied in power electric system. As a kind of new method of CBM, health index based maintenance decision can flexibly arrange time to repair the distribution device so that it could effectively improve the maintenance efficiency and cost effectiveness. Considering those factors such as the level of load, maintenance category and live working , an optimal maintenance time scheduling model for 10kV distribution network based on health index was put forward in the paper. Modified genetic algorithm was used to find the solution of model. At last, the method was applied to a test system. The result showed that device health index based distribution network maintenance decision can not only enhance the operation reliability of the power grid, but also reduce the grid operational expenses, showing remarkable social and economic benefits.