Risk management platform for power grid big data

• Main Authors: SHI HAIGE, XU FENGYUAN, LI BIQING, GAO WANXIAN, LIU JUN, XU HONGQUAN, DU CHAOBEN
• Format: Patent
• Language: Chinese; English
• Published: 05.04.2024
• 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; ELECTRIC DIGITAL DATA PROCESSING; ELECTRICITY; GENERATION; PHYSICS; SYSTEMS FOR STORING ELECTRIC ENERGY; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a risk management platform for power grid big data, which comprises a power grid data acquisition unit and a risk analysis unit, relates to the technical field of power grid big data management, and solves the problems that risk prediction cannot be well performed by combining historical data, and then abnormal reasons are not reasonably analyzed, so that the risk management efficiency is improved. According to the method, a corresponding power grid data model is established according to historical data, real-time data are input into the model to judge the overall working state of the power grid, continuous monitoring is carried out aiming at the normal working state, and meanwhile early warning is carried out according to voltage and current. According to the method, the abnormal working state is specifically analyzed, whether the power supply is unstable or not is judged by calculating the power, then the voltage and the current are analyzed, the overall risk value is calculated, whe