A Deduction Method of Segmented Switching Power Data Based on BP Neural Network

Line loss rate of power network is an important technical and economic index which can reflect the power industry, the missing data of power distribution network has a serious impact on the calculation of line loss. To solve this problem, a method based on BP neural network is proposed to derive segmented switching power data. By using the current data of the segment switch and the voltage data of the surrounding distribution transformers, the fitting of the power data of the segment switch is completed, and the lean calculation of line loss is realized. The effectiveness of the proposed method is verified by a 10kV feeder case.