ARIMA-BP组合模型的智能变电站遥测数据趋势性预警技术研究
Research on Trend Forecasting and Warning Technology for Telemetry Data in Smart Substations Using ARIMA-BP Integrated Model
付智鑫 1王同珍1
作者信息
- 1. 国网白银供电公司,甘肃白银 730900
- 折叠
摘要
在电力行业不断发展的过程中,通过智能变电站实现变电站的升级改造.遥测数据量比较大,如何实现变电站遥测数据的分析和预警具有重要作用,能够使电力系统运行过程中的稳定性和安全性得到提高.以此,本文就对智能变电站的数据进行分析,评估智能变电站的状态,为智能变电站的运行和检修工作提供建议.
Abstract
In the continuous development of the power industry,smart substations have been implemented for the upgrading and reconstruction of substations.Telemetry data volumes are relatively large,and the realization of analysis and early warning for substation telemetry data plays a significant role in improving the stability and safety of power system operation.Therefore,this article analyzes the data of smart substations,evaluates their status,and provides suggestions for the operation and maintenance of smart substations.
关键词
ARIMA-BP组合模型/智能变电站/遥测数据Key words
ARIMA-BP combined model/smart substation/telemetry data引用本文复制引用
出版年
2024
NETL
NSTL
万方数据