Distribution substation heavy overload data processing method based on BP neural network

Abstract

The traditional processing of distribution substation heavy overload data uses manual method or association rule method, but its processing efficiency is slow and processing accuracy is low. In this regard, a BP neural network method for processing distribution substation heavy overload data is proposed. The BP neural network is constructed to build a model, extract data features, and train the model for data processing using large-scale data. In the experiments, the processing accuracy of the proposed model is verified. The analysis of the experimental results shows that the model processing efficiency is high and the data processing accuracy is high when the proposed model is used for data accuracy detection.