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作 者:张飞飞 刘元昊 胡铭洋 时珉 李世辉 ZHANG Feifei;LIU Yuanhao;HU Mingyang;SHI Min;LI Shihui(State Grid Hebei Electric Power Co.,Ltd.,Shijiazhuang 050021,China)
机构地区:[1]国网河北省电力有限公司,河北石家庄050021
出 处:《河北电力技术》2024年第5期71-76,共6页Hebei Electric Power
摘 要:针对线路雷击故障频增威胁电力稳定供应的问题,提出了一种基于Fisher分数的特征挖掘与雷击故障快速辨识方法。首先深入分析了线路雷击故障机理,发现并总结了雷击故障时刻电气量特征;然后采用基于Fisher分数的特征挖掘方法实现了对雷击故障各特征的重要性程度计算,进而以故障录波系统和雷电定位系统信息为基础,通过建立雷击故障典型特征信息库与智慧分析模块,实现了线路雷击故障的快速辨识;最后通过仿真验证以及实例分析,证明该方法可实现线路雷击故障的快速辨识,显著提高了电力系统可靠性和故障检修效率。Aiming at the problem of frequent increase of line lightning faults threatening the stable supply of electric power,a feature mining and fast identification method of lightning strike fault based on Fisher score is proposed.Firstly,the mechanism of line lightning strike faults is deeply analyzed,and the characteristics of the electrical quantity at the moment of lightning faults is discovered and summarized.Then,the feature mining method based on Fisher score is used to calculate the importance degree of each feature of the lightning strike faults.And then,based on the information of the fault recording system and the lightning locating system,the fast identification of the line lightning strike faults is realized by establishing the typical feature information database and the intelligent analysis module.Finally,it is proved that this method can realize the fast identification of line lightning strike faults through simulation verification and example analysis,and this method significantly improves the reliability of the power system and the maintenace efficiency.
关 键 词:输电线路 故障辨识 故障录波系统 Fisher分数
分 类 号:TM755[电气工程—电力系统及自动化]
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