基于在线监测的雷电流识别方法及其应用
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1.云南民族大学电气信息工程学院 昆明 650500; 2.云南省高校信息与通信安全灾备重点实验室 昆明 650500

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TM93

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国家自然科学基金(61540063)、云南省应用基础研究计划项目(2016FD058,2018FD055)资助


Rapid identification of lightning current method based on online monitoring and its application
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1.School of Electrical and Information Technology, Yunnan Minzu University,Kunming 650500, China; 2.University Key Laboratory of Information and Communication on Security Backup and Recovery in Yunnan Province, Kunming 650500, China

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    摘要:

    对于输电线路的雷击过电压在线监测装置,快速准确地识别雷电流信号至关重要,目前不论是硬件触发还是软件触发都存在误触发和漏触发等触发问题,而且目前的监测系统在经济性和便捷性方面存在明显弊端。本文提出一种基于嵌入式的雷击在线监测系统,可以实现对输电线路高效便捷的实时监测,极大的提高雷击监测装置的便捷性和经济性。同时提出先检测后识别的触发算法准确识别雷击电流暂态信号,首先通过幅值差的方法快速检测雷电流信号(不良数据),然后通过周期作差的方法准确识别不良数据,通过分析实验,证明该方法可以减少监测系统的误触发和漏触发次数。并且通过实验室测试,证明该监测系统的采集精度为98.49%,满足实时监测的需求,为输电线路在线监测提供一种经济便捷的监测系统。

    Abstract:

    For the lightning overvoltage on-line monitoring device of the transmission line, it is very important to accurately identify the lightning current signal. At present, whether it is hardware triggering or software triggering, there are triggering problems such as false triggering and leakage triggering, and the current monitoring system has obvious disadvantages in terms of economy and convenience. This paper proposes an embedded lightning strike online monitoring system, which can realize efficient and convenient real-time monitoring of transmission lines, and greatly improve the convenience and economy of lightning strike monitoring devices. At the same time, a triggering algorithm of first detection and identification is proposed to accurately identify the lightning current transient signal. First, the lightning current signal (bad data) is quickly detected by the method of amplitude difference, then the bad data is accurately identified by the method of period difference. Through analysis experiments, it is proved that the method can reduce the number of false triggers and missed triggers of the monitoring system. And through laboratory tests, it is proved that the acquisition accuracy of the monitoring system is 98.49%, which meets the needs of real-time monitoring and provides an economical and convenient monitoring system for online monitoring of transmission lines.

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张雷,范菁,曲金帅.基于在线监测的雷电流识别方法及其应用[J].电子测量技术,2023,46(5):172-178

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  • 在线发布日期: 2024-02-22
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