Power grid vulnerability early warning method and system under dynamic thunder and lightning prediction

• Main Authors: TONG CHONG, WU ZHIJIAN, XU YANG, HUA XIA, FENG JIAHUAN, FANG ZHIHAO, FU LIUDI, SU JUNLIN, XIANG MIN, SHI XUJIANG, HU TAO, HONG YI
• Format: Patent
• Language: Chinese; English
• Published: 08.03.2022
• 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; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a vulnerability early warning method and system for a power grid under dynamic thunder prediction, and the method comprises the steps: firstly obtaining a thunderbolt prediction probability through the collection of meteorological historical data and thunderbolt historical data, carrying out the prediction of a constructed deep learning network, selecting a line with the maximum thunderbolt prediction probability as a key line of a thunder partition, building a weighted topology model of a power grid network, and carrying out the early warning of the vulnerability of the power grid. And calculating two-port input impedance between each power supply load node pair in the weighted topology model, then establishing an improved network supply capacity model to calculate global network supply capacity variation after key lines trip, and finally obtaining a power grid global vulnerability index after each key line trips under dynamic thunder and lightning prediction to realize thunder and li