首页|基于人工智能的供配电系统故障诊断与恢复策略

基于人工智能的供配电系统故障诊断与恢复策略

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
本文研究了基于人工智能的供配电系统的故障诊断与恢复策略.首先,对智能供配电系统的基本架构和原理进行深入探讨,包括网络感知、数据采集、实时监控和故障检测等方面,揭示了其核心组成部分的协同作用.其次,对机器学习在供配电系统故障诊断中的应用进行研究,阐述了机器学习在识别异常情况、分类故障类型和提供决策支持方面的关键作用,强调了其在优化系统性能和减少停电影响方面的巨大潜力.探讨了深度学习技术在供配电系统故障诊断中的应用,包括声音和图像分析,论述了如何利用深度学习技术处理大规模数据集,以提前发现潜在问题,从而更加全面地保障电力系统的稳定运行.最后,研究了恢复策略和自愈系统,探讨了如何在故障发生后自动触发恢复策略,以最小化停电时间和降低经济损失.强调了自动化切换设备和远程控制的重要性,以实现电力系统的快速、有效的自愈.
Fault diagnosis and recovery strategies of power supply and distribution system based on artificial intelligence
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.

artificial intelligencepower supply and distribution systemfault diagnosisrecovery strategymachine learningdeep learning technologyself-healing system

黄蓓、张宗华、温晓荃、谭社平

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广西水利电力职业技术学院,南宁 530023

南宁轨道交通运营有限公司,南宁 530029

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

广西壮族自治区职业教育教学改革研究重点项目(2021)

GXGZJG2021A023

2024

广西水利水电
广西水利电力勘测设计研究院

广西水利水电

影响因子：0.135
ISSN：1003-1510
年,卷(期)：2024.(3)
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