摘要
针对城市电力网络停电事故中的问题,为提升电网防灾、减灾、救灾的工作效率,最大限度地减少停电带来的损失,本文利用大数据系统、物联网技术与人工智能算法,设计了一套电网监控应急支持系统。系统对电网进行全方位监测,并从灾前故障预测、灾中最优决策、灾后系统更新3个方面,实现对电力故障预测、控制与应急救灾。系统可有效地减少电网隐患,降低故障发生次数,缩短供电恢复时间,有较好的应用价值。
Aiming at the problems and deficiencies in the urban power network blackout,improve the work efficiency of power grid disaster prevention,mitigation and relief,and minimize the loss caused by power failure.Using big data system,Internet of things technology and artificial intelligence algorithm designed a power grid monitoring emergency support system.The system monitors the power grid throughout the day,and from three aspects:fault prediction before disaster,optimal decision during disaster and system update after disaster,to realize power failure prediction,control and emergency relief.The system can effectively reduce the hidden trouble of the power grid,reduce the frequency of failures,shorten the time of power supply recovery,and has a good application value.
作者
刘士亚
郭静
岑钊华
LIU Shiya;GUO Jing;CEN Zhaohua(School of Automation,Foshan University of Science and Technology,Foshan,Guangdong 528000;Foshan Jinneng Power Engineering Co.,Ltd,Foshan,Guangdong 528000)
出处
《电气技术》
2021年第2期11-16,共6页
Electrical Engineering
基金
2019年佛山市自筹经费类科技计划项目(1920001001144)。
关键词
电力系统
在线监控
故障预测
应急响应
power system
online monitoring
fault prediction
emergency response
