Integrated intelligent detection method for distribution automation terminal

• Main Authors: LI BIN, LI ZHIMING, XU ZHENG, YIN LIANGZHI, WANG XIAODONG, ZHAO TONG, XU HAILIANG, ZHENG PEIYU, MOU YINDI, WANG JIAFENG, DU MINGLIANG, ZHEN WENBO, LIU ZHOU, DU YINING
• Format: Patent
• Language: Chinese; English
• Published: 16.08.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to a power distribution automation terminal integrated intelligent detection method, which comprises the steps of collecting and preprocessing environment parameter data and corresponding power parameter data during operation of power distribution equipment, clustering a preprocessed weather data vector set through a K-means algorithm, training a data set, and calculating the power distribution automation terminal integrated intelligent detection result. The clustered multi-class cluster data set is used for training a whale optimization algorithm optimization radial basis function network WOA-RBFN model, a power distribution automation terminal integrated intelligent detection model corresponding to each class cluster is established, processed weather data is input, the cluster category is judged, the detection model is substituted, and the WOA-RBFN model is obtained. Predicting the electric power parameter data of the power distribution automation terminal equipment at the current mome