A SVM-based detection method for electricity stealing behavior of charging pile

摘要

With the continuous growth of electric vehicles, the electricity stealing behavior of charging pile is becoming more and more frequent. In order to protect the safety of power grid, effective monitoring should be made for electricity stealing behavior. In this paper, a method based on support vector machine (SVM) is proposed to detect electricity stealing behavior of charging piles. By constructing a recognition model of electricity stealing behavior of charging pile, the purpose of anti stealing electricity of charging pile is achieved. In the model feature data input stage, the relevant features of electricity stealing behavior are extracted, and the support vector machine classifier is used for training, and the classification effect is tested on the test set. Experimental results show that the model has high accuracy. It can meet the detection requirements of electricity stealing behavior of charging pile.