Voltage Sag Source Location based on the Random Forest

Abstract

As one of the most prominent power quality problems in the power system, voltage transients threaten the use of many electrical and electronic devices. The rapid and accurate location of voltage drop sources can better define the responsibility between the power supply and the customer. It can also provide a reliable basis for future grid development planning. In this paper, a random forest model is set up to extract data from several electrical characteristics of voltage transients according to the classical voltage transient location method, which is used as training and test samples to input into the random forest model to achieve the upstream and downstream location of voltage transient sources. The random forest model is more accurate than the single decision tree model and the traditional upstream and downstream voltage drop location method. It is possible to determine which of the traditional judgments is more important under this model.