Data-model hybrid driven power system safety assessment method and system

• Main Authors: YANG LICHAO, WANG NAN, ZHANG YUYUE, ZHAO LONG, LIU XIAOMING, GAO XIAOHAI, WEI XIN, JIANG KAI, TIAN XIN, MENG XIANGFEI, QIU XUANYU, LIU NIAN, YANG SI, ZHANG LINA, FU YIMU, LI WENSHENG, YANG BIN, CHENG PEIFEN, WEI JIA, ZHANG DONGLIANG, YUAN ZHENHUA
• Format: Patent
• Language: Chinese; English
• Published: 25.11.2022
• Subjects: CALCULATING; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRICITY; GENERATION; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; SYSTEMS FOR STORING ELECTRIC ENERGY; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides a data-model hybrid driven power system safety assessment method and system, and belongs to the field of power system safety assessment, and the method comprises the steps: collecting a multi-time scale data set of a power grid dispatching platform; predicting the day-ahead load of the power system according to the historical load data to obtain day-ahead load prediction data; carrying out load flow calculation on the power system according to the multi-time scale data set and the day-ahead load prediction data; according to the day-ahead fault type, the day-ahead power grid topological structure and the day-ahead power flow calculation result, determining a day-ahead safety evaluation index value of the power system based on a safety evaluation model; carrying out load flow calculation on the power system according to the real-time load; and according to the current fault type, the current power grid topological structure and the real-time load flow calculation result, determining a re