摘要
结合数据挖掘、大数据技术在电力系统中的应用现状,分析和设计了一种智能变电站设备管控大数据分析系统。对变电站设备运行状态的大数据特征及基本框架进行了分析,并重点阐述了变电站设备运行状态大数据分析系统的数据集成与预处理、数据存储与处理、设备状态评估模型以及数据可视化展示。实验结果表明,所设计的大数据分析系统能够大幅度提升变电站设备数据分析智能化水平,为变电站管控稳定运行提供更加有效和实用性的技术支撑。
A big data analysis system of intelligent substation equipment management and control was analyzed and designed,combining with the application of data mining and big data technology in power system.The characteristics and basic framework of the big data in the operation of substation equipment were analyzed.Then the data integration and preprocessing,data storage and processing,equipment status evaluation model and data visualization display were elaborated.The experimental results show that the designed big data analysis system can greatly improve the intelligent level of data analysis of substation equipment and provide more effective and practical technical support for the stable operation of substation management and control.
作者
李鸿奎
程昭龙
周蕾
王曼琪
胡国华
LI Hongkui;CHENG Zhaolong;ZHOU Lei;WANG Manqi;HU Guohua(State Grid Shandong Electric Power Company Heze Power Supply Company,Heze 274000,China)
出处
《机械与电子》
2020年第10期72-76,80,共6页
Machinery & Electronics
关键词
智能变电站
设备管控
数据存储
机器学习
状态评估
可视化
intelligent substation
equipment control
data storage
machine learning
state evaluation
visualization
作者简介
李鸿奎(1984-),男,山东郓城人,高级工程师,主要从事电力调控工作;程昭龙(1989-),男,山东嘉祥人,工程师,主要从事电力调控工作。
