This study aims to explore the application and transformation effects of big data mining and analysis technology in power dispatch. Taking a power dispatch center in the west as an example,this study designs and implements a power dispatch system based on big data mining and analysis. The research results show that after the transformation,the daily data processing capacity of the system increases to 1.5 TB,the processing time decreases to 2 hours,the load prediction error rate decreases to 2.5％,the prediction time is shortened to 10 minutes,the fault detection time is shortened to 5 minutes,the fault processing time is shortened to 1 hour,the warning accuracy reaches 85％,the user demand prediction accuracy is improved to 90％,the response time is reduced to 15 minutes,and the stable operation rate of the system reaches 99.9％. The overall operational efficiency and reliability of the system have been significantly improved.
关键词
大数据技术/电力调度/负荷预测/故障诊断/数据处理
Key words
big data technology/power dispatch/load prediction/fault diagnosis/data processing
维普
万方数据