Security situation awareness method and system of charging pile variable frequency load

• Main Authors: TIAN SHIMING, LIU YIJUAN, YUAN JINDOU, WU XUEXIA, XU MEILING, PAN MINGMING, CHEN YUNLONG, ZHANG XUEMEI, WANG QIAN, YU XIANGJIE, XU ZISHANG
• Format: Patent
• Language: Chinese; English
• Published: 24.03.2023
• 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; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides a safety situation awareness method and system for a variable frequency load of a charging pile. The method comprises the steps of obtaining voltage data of an electric energy meter connected with the charging pile; according to the obtained voltage data of the electric energy meter and a pre-trained BP neural network model, obtaining a safety situation sensing result of the charging pile variable frequency load; wherein the weight optimization of the BP neural network model is carried out by adopting a particle swarm optimization algorithm, and the inertial factor of the particle swarm optimization algorithm is obtained according to the maximum value and the minimum value of the inertial factor, the number of iterations, the maximum number of iterations and the transformation coefficient; according to the method, the local and global search capability and the convergence speed of the particle swarm algorithm are improved, the particle swarm algorithm is prevented from falling into loca