Prediction Method of Distribution Network Equipment Failure Rate Based on Improved LSTM Algorithm
In order to improve the stability and security of distribution network operation,it is very important to accurately pre-dict the failure rate and grasp the development trend of equipment failure during the operation of distribution network equip-ment.Therefore,this paper proposed a method for predicting the failure rate of distribution network equipment based on the im-proved LSTM algorithm.firstly,based on the operating scenarios of distribution network equipment,an index system suitable for the prediction of failure rate of distribution network equipment was constructed.Historical data was collected according to the index,and data was preprocessed by smoothing processing method to reduce the influence of abnormal data.Then,based on the improved LSTM algorithm,a prediction model for the failure rate of distribution network equipment was established,and the pre-training process was completed driven by historical data.Finally,the trained failure rate prediction model of distribution network equipment was imported into the prediction platform,and the prediction result of the failure rate of distribution net-work equipment was obtained according to the real-time index data.The calculation example can verify that the proposed method can more effectively predict the failure rate caused by factors such as environmental changes,operating status,and operating years of distribution network equipment,and has the advantages of high prediction accuracy and good versatility.
distribution network equipmentimproved LSTM algorithmfault predictionoperating environmentindex system
NETL
NSTL
万方数据
