Power system risk prediction system based on big data analysis

• Main Authors: CHEN JUNXING, LI ZHIYONG
• Format: Patent
• Language: Chinese; English
• Published: 10.11.2023
• Subjects: CALCULATING; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER; COMPUTING; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRICITY; GENERATION; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; 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 requests to protect a power system risk prediction system based on big data analysis. The power system risk prediction system comprises a data acquisition module, base station equipment and a dynamic monitoring module, the data acquisition module comprises a plurality of sensor nodes, and the sensor nodes are deployed on the power equipment and used for acquiring parameters of the power equipment during operation and forwarding the acquired parameters to the base station equipment; the base station equipment receives the parameters and forwards the parameters to the dynamic monitoring module; and the dynamic monitoring module is used for dynamically monitoring the power equipment in real time according to the received parameters and sending out alarm information in time when abnormal operation of the power equipment is found. Through the risk prediction system, the parameters of the power equipment during operation can be obtained in real time, and an alarm is given in time when abnormal operati