Decision Tree Detection Method for Overload Fault of Distribution Network Lines Under Load Disturbance

The conventional decision tree detection matrix of distribution network line overload fault is mostly unidirectional, and the detection range is small, which leads to the time-consuming extension of the final overload fault detection. Therefore, the design and verification analysis of the decision tree detection method of distribution network line overload fault under load disturbance are proposed. According to the current measurement, firstly, the overload fault feature is extracted. Under the load disturbance condition, the range of fault detection is expanded by multi-step method, and the multi-step overload fault detection matrix is designed. Based on this, the decision tree distribution network line overload fault detection model is constructed, and the fault detection processing is realized by adaptive cross overload locking. The test results show that for the six selected overload fault detection points, the final overload fault detection time is controlled 0.3s, which shows that with the help of decision tree principle, the currently designed overload fault detection method is more targeted and stable, and the fault identification and detection efficiency is higher, and the overall detection effect is obviously improved, and the error is controllable, which has practical application value.