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作 者:杨平 宋鹏 周盛锋 吕涛 武红立 张束桦 YANG Ping;SONG Peng;ZHOU Shengfeng;LV Tao;WU Hongli;ZHANG Shuhua(Ningbo Power Supply Company of State Grid Zhejiang Electric Power Co.,Ltd.,Ningbo 315000,Zhejiang China)
机构地区:[1]国网浙江省电力有限公司宁波供电公司,浙江宁波315000
出 处:《粘接》2024年第12期166-169,共4页Adhesion
摘 要:为提高变电站防误闭锁自动化程度,设计了一种变电站防误闭锁智能校验装置。基于现有智能校验装置的倒闸操作票生成系统和防误操作闭锁系统为两个相互独立的系统,构建基于卷积神经网络的专家系统和可用于整个智能校验装置的知识库。基于220 kV智能变电站对所设计的防误闭锁智能校验装置进行了验证。结果表明,所设计的变电站防误闭锁智能校验装置增强了防误闭锁智能校验装置的自动化程度,实现了变电站防误闭锁智能校验。具有一定的有效性和正确性,可自动生成操作票,并能将错误的操作票补充到知识库中。To improve the automation level of substation anti-mistake locking,an intelligent verification device for substation anti-mis-operation locking was designed.Based on the two independent systems of the existing intelligent verification device,the reverse operation ticket generation system and the anti-mistake blocking system,an expert system based on convolutional neural network and a knowledge base that can be used for the whole intelligent verification device were constructed.The 220 kV intelligent substation was used to verify the designed anti-mistake locking intelligent calibration device.The results showed that the designed intelligent verification device for substation anti-mistake locking enhanced the automation level of the intelligent verification device for anti-mistake locking,and realized the intelligent verification of substation anti-mistake locking.It has certain validity and correctness,can automatically generate operation tickets,and can supplement incorrect operation tickets to the knowledge base.
关 键 词:变电站 防误闭锁 智能校验 专家系统 卷积神经网络
分 类 号:TM734[电气工程—电力系统及自动化]
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