电力能源大数据在智能电网中的应用研究  

Research on application of power energy big data in smart grid

作　　者：贾秉健 李慧娟 徐诺 汪佐鹏 JIA Bingjian;LI Huijuan;XU Nuo;WANG Zuopeng(Xinjiang Information Industry Co.,Ltd.,Urumqi 830000,China;Xinjiang Shoubang Human Resources Service Co.,Ltd.,Urumqi 830000,China)

机构地区：[1]新疆信息产业有限责任公司,乌鲁木齐830000 [2]新疆首邦人力资源服务有限公司,乌鲁木齐830000

出　　处：《计算机应用文摘》2025年第9期236-238,共3页

摘　　要：电力需求的增长以及对电力系统可靠性、效率的高要求推动了大数据技术在智能电网中的广泛应用。结合信息技术、通信技术和电力技术,智能电网能够实现电力系统的高效运行和管理,提升电网的稳定性、安全性和可持续性。电力能源大数据在智能电网中的应用范围十分广泛,涵盖电网的运行监测、调度优化、故障诊断和能源管理等领域。通过对电力系统中产生的海量数据进行实时分析与处理,电网运营商可以及时获取电网的状态信息,预测负荷变化,优化电力调度,提升电网故障诊断能力,从而提高系统的整体效率和安全性。The increasing demand for electricity and the high requirements for reliability and efficiency of the power system have made the application of big data technology in smart grids increasingly important.The smart grid combines information technology,communication technology,and power technology to achieve efficient operation and management of the power system,and enhance the stability,safety,and sustainability of the power grid.The application scope of power energy big data in smart grids is extensive,covering areas such as power grid operation monitoring,scheduling optimization,fault diagnosis,and energy management.By real-time analysis and processing of massive data generated in the power system,power grid operators can obtain timely status information of the power grid,predict load changes,optimize power dispatch,enhance power grid fault diagnosis capabilities,and thereby improve the overall efficiency and safety of the system.

关 键 词：电力能源大数据 智能电网 运行监测 调度优化 故障诊断 能源管理 

分 类 号：TM711[电气工程—电力系统及自动化]