广西水利水电Issue(3)：128-131,4.
基于人工智能的供配电系统故障诊断与恢复策略
Fault diagnosis and recovery strategies of power supply and distribution system based on artificial intelligence
摘要
Abstract
Research was conducted on the fault diagnosis and recovery strategies of power supply and distribution system based on artificial intelligence.Firstly,an in-depth exploration was conducted on the basic architecture and principles of intelligent power supply and distribution system including network perception,data collection,real-time monitoring and fault detection,which reveals the synergistic effects of its core components.Secondly,the appli-cation of machine learning in fault diagnosis of power supply and distribution system was studied.The key role of machine learning in identifying abnormal situations,classifying fault types and providing decision support was elab-orated,with the emphasis placed on its enormous potential in optimizing system performance and reducing the im-pact of power outages.Exploration was conducted on the application of deep learning technology in fault diagnosis of power supply and distribution system,including sound and image analysis.The authors elaborate how to use deep learning technology to process large-scale datasets,so as to detect potential problems in advance and more compre-hensively ensure the stable operation of the power system.Finally,the authors study the recovery strategies and self-healing system,explore how to automatically trigger recovery strategies after a fault occurs to minimize power outage time and reduce economic losses.The importance of automated switching equipment and remote control for rapid and effective self-healing of the power system is emphasized.关键词
人工智能/供配电系统/故障诊断/恢复策略/机器学习/深度学习技术/自愈系统Key words
artificial intelligence/power supply and distribution system/fault diagnosis/recovery strategy/machine learning/deep learning technology/self-healing system分类
信息技术与安全科学引用本文复制引用
黄蓓,张宗华,温晓荃,谭社平..基于人工智能的供配电系统故障诊断与恢复策略[J].广西水利水电,2024,(3):128-131,4.基金项目
2021年度广西职业教育教学改革研究项目重点项目(项目编号:GXGZJG2021A023). （项目编号:GXGZJG2021A023）
