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作 者:辛威 张桂晨 赵子凯 XIN Wei;ZHANG Guichen;ZHAO Zikai(State Grid Shangqiu Power Supply Company,Shangqiu 476013,China)
出 处:《通信电源技术》2025年第4期1-3,共3页Telecom Power Technology
摘 要:变压器作为电力系统的关键设备,故障诊断与运维的质量直接影响电网运行的可靠性。提出一种基于以太网通信的变压器故障运维方法,通过部署智能传感器网络实现全域数据采集,构建深度学习故障诊断模型进行智能故障识别,利用强化学习算法优化运维决策,并设计基于移动终端的决策执行方案。该方法为提高变电站智能运维水平提供了新的技术方案。As the key equipment of power system,the quality of fault diagnosis and operation and maintenance of transformer directly affects the reliability of power grid operation.A transformer fault operation and maintenance method based on Ethernet communication is proposed.By deploying intelligent sensor networks,global data acquisition is realized,a deep learning fault diagnosis model is constructed for intelligent fault identification,and reinforcement learning algorithm is used to optimize operation and maintenance decisions,and a decision execution scheme based on mobile terminals is designed.This method provides a new technical scheme for improving the intelligent operation and maintenance level of substation.
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