Optimal location of stationing points for distribution network repair based on feeder fault prediction

Abstract

To improve the efficiency of distribution network repair， an optimal stationing point location method for distribution network repair is proposed based on feeder fault prediction by analyzing the power grid operation data， historical fault data and grid structure distribution in a region of Taizhou， Zhejiang province. Firstly， feeders in the target area are reasonably divided based on the fault prediction level. Secondly， an artificial immune optimization algorithm is used and all the constraints are considered to conclude the optimal location based on the geographic characteristics of the feeders and the results of the feeder fault prediction. Finally， it is proved by an example that the proposed method is effective in improving repair efficiency and can provide a strong guarantee for the rapid post-fault restoration of power supply.

Keywords

• distribution network
• feeder
• fault prediction
• artificial immune optimization algorithm
• stationing points for repair