摘要
随着计算机网络技术的升级与发展,变电站的智能化发展与应用也得到更多关注,将计算机网络技术引入到电力系统当中以实现智能变电站的运行。近年来,为进一步提升变电站的智能化,有关深度学习理论的应用也得到更多关注。以深度学习理论为基础,对防误操作闭锁系统的应用情况加以分析,有效提升了其操作成效与运行效率,促进了整体电力系统运行水平的提升。
With the upgrade and development of computer network technology,substation is also becoming more and more intelligent Computer network technology is also introduced into the power system to realize the operation of intelligent substation.In recent years,in order to further enhance the intelligence of substation,the application of deep learning theory also gets more attention.This paper,based on the deep learning theory,analyzes the smart substation design and application of lock system,so as to effectively improve its operation effect and operation efficiency,and lay a solid foundation for the optimization of the overall power system.
作者
彭文英
肖航
周思成
杨继党
PENG Wenying;XIAO Hang;ZHOU Sicheng;YANG Jidang(Baoshan Power Supply Bureau of Yunnan Power Grid Co.,Ltd.,Baoshan 678000,China)
出处
《通信电源技术》
2022年第3期39-41,46,共4页
Telecom Power Technology
关键词
深度学习理论
智能变电站
防误操作闭锁系统
deep learning theory
smart substation
anti-error operation locking system