Risk Identification and Response of Low-Voltage Operation and Distribution Integration Site

Currently, the power supply and distribution terminals are independent of each other and have a low degree of correlation, resulting in poor comprehensive risk warning effectiveness. Therefore, a new power supply comprehensive risk warning model is constructed. Select power supply risk warning indicators and standardize them. Calculate the grayscale correlation between indicators, sort them, obtain the scalar time series of power supply risk events, determine the maximum gradient difference for risk warning, and obtain the judgment formula for risk warning evaluation based on the directional characteristics of the correlation, thus constructing a power supply risk warning model. The experimental results show that using this model for comprehensive power supply risk warning yields warning results that are closer to actual results.