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基于无线通信的低压配电网单相接地故障定位系统研究

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文章提出一种基于无线通信和机器学习的智能系统解决方案.该系统通过部署无线传感器网络实现配电网的实时监测,采用改进的支持向量机(Support Vector Machine,SVM)算法进行故障检测,引入阻抗法实现精确的故障定位.搭建一个高度仿真的实验平台,对系统的传输性能、检测精度及定位误差等指标进行了全面评估.实验结果表明,该系统能够在低信噪比环境下实现高精度的故障检测与定位,为配电自动化提供新的解决思路.
Research on Single-Phase Grounding Fault Location System of Low-Voltage Distribution Network Based on Wireless Communication
The article proposes an intelligent system solution based on wireless communication and machine learning.The system realizes real-time monitoring of distribution networks by deploying wireless sensor networks,adopts an improved Support Vector Machine(SVM)algorithm for fault detection,and introduces the impedance method to realize accurate fault localization.A highly simulated experimental platform is built to comprehensively evaluate the system's transmission performance,detection accuracy and localization error.The experimental results show that the system is capable of realizing high-precision fault detection and localization in a low signal-to-noise ratio environment,providing a new solution idea for power distribution automation.

distribution networkfault detectionwireless communicationmachine learning

李朋

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国网泰兴市供电公司工程技术中心,江苏 泰兴 225400

配电网 故障检测 无线通信 机器学习

2024

通信电源技术
武汉普天通信设备集团有限公司

通信电源技术

影响因子:0.389
ISSN:1009-3664
年,卷(期):2024.41(9)
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