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作 者:张国瑞 郭琦 吴涛 何方明 刘涛 ZHANG Guorui;GUO Qi;WU Tao;HE Fangming;LIU Tao(State Grid Beijing Tongzhou Power Supply Company,Beijing 100000,China)
出 处:《自动化应用》2024年第18期4-6,共3页Automation Application
摘 要:随着电力系统自动化和智能化水平的不断提高,对变电站的安全运行提出了更高要求。作为影响变电站安全的重要因素之一,电弧火灾的发生存在隐蔽性和突发性。为此,提出了一种整合了随机森林算法的先进电流故障检测技术的电弧火灾预防系统。该系统利用实时数据处理和智能算法,能快速准确地识别故障电流的微小变化,实现对潜在电弧故障的早期预警。通过与变电站现有的监控系统集成,该方案不仅提高了故障检测的实时性和准确性,还增强了系统的自动化处理能力,从而有效预防了由电弧引发的火灾事故,保障了变电站的安全稳定运行。With the continuous improvement of automation and intelligence level in the power system,higher requirements have been put forward for the safe operation of substations.As one of the important factors affecting the safety of substations,the occurrence of arc fires has concealment and suddenness.Therefore,an advanced current fault detection technology that integrates the random forest algorithm is proposed for the prevention of arc fires.The system utilizes real-time data processing and intelligent algorithms to quickly and accurately identify small changes in fault current,achieving early warning of potential arc faults.By integrating with the existing monitoring system of the substation,this solution not only improves the real-time and accuracy of fault detection,but also enhances the automation processing capability of the system,effectively preventing fire accidents caused by electric arcs and ensuring the safe and stable operation of the substation.
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