Power transmission line lightning stroke early warning method and system based on support vector machine

• Main Authors: TONG CHONG, SHI YIFENG, ZHAN RUOPEI, FENG JIAHUAN, SHI XUJIANG, WU KUNMING, ZHOU YU, XIE ZHIMIN, GONG LIEFENG
• Format: Patent
• Language: Chinese; English
• Published: 23.09.2022
• 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; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides a power transmission line lightning stroke early warning method and system based on a support vector machine, and the method comprises the steps: dividing a power transmission line into regional grids, and collecting meteorological historical data and lightning historical data; preprocessing the collected meteorological historical data and lightning historical data to obtain normalized sample data; optimizing parameters of a support vector machine by using an ant colony algorithm, inputting normalized sample data into the support vector machine for training, and establishing a global optimal prediction model; dividing a to-be-predicted power transmission line into regional grids, collecting meteorological data in real time, inputting the meteorological data into the globally optimal prediction model for lightning prediction of different regional grids, calculating the severity of the power transmission line after lightning stroke, and sending out early warning information. According to