Prediction of Voltage Sag Economic Losses based on Information Distribution and Diffusion Theory

Voltage sag brings economic losses that are difficult to measure for industrial users. The use of sag monitoring information and related indices for forecasting is the key to solving this problem. In order to realize the rapid and reasonable prediction of the losses results in the early stage of the event, this paper proposes a voltage sag economic losses prediction model based on information distribution and diffusion theory. Firstly, the method principle of information distribution and diffusion theory is explained. Based on the existing research, the severity of sag and economic losses are discussed. Then, considering the close causal relationship between them, the article established the fuzzy relationship between severity and economic losses based on information diffusion theory. Subsequently, the information distribution theory is used to fuzzify the severity index data, and the fuzzy relationship is used to predict the economic losses of existing samples. Finally, the actual data is analyzed, and the results show that the proposed method has less error in prediction results, and can provide data support and reference basis for user production decision quickly in the early stage of the event, which has important practical significance and application value.