Analysis of Economic Loss of Voltage Sag Based on Artificial Intelligence Algorithm

In order to further simplify the process of economic loss assessment of voltage sag and improvethe applicability and accuracy of economic loss prediction, an estimation model based on DBN-DNN for economic loss caused by voltage sag is proposed. The characteristic factors affecting theeconomic loss of voltage sag are analyzed The 19-dimensional feature vectors are extracted from the saginformation, industrial process information, sensitive equipment information and users’ basic information asinput vectors of DBN-DNN prediction model, and the economic loss results are taken as output. Finally, the DBN-DNN model is trained and evaluated based on the actual voltage sag sampling data of alarge electronic industry enterprise in China, which shows the effectiveness of the proposed method.