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作 者:王欣 张恭源 WANG Xin;ZHANG Gongyuan(Yunnan Power Grid Co.Ltd.,Kunming 650000,China)
出 处:《工业加热》2024年第6期80-84,共5页Industrial Heating
摘 要:过高或过低的负荷可能导致供10kV电炉变压器的不稳定,甚至引发系统崩溃或设备故障。因此,提出一种基于小波变换的35 kV变电站供10 kV电炉变压器负荷保护检测方法。通过经验小波和小波变换对含有噪声的电炉变压器负荷数据进行去噪处理,将其分解为多频率的模态函数,以峭度值为依据划分去噪后的模态函数尺度域,重构电炉变压器负荷数据。通过KD-Tree算法将电炉变压器负荷数据划分为多个数量均匀分区,计算可达距离设定电炉变压器负荷判定阈值。建立局部簇关联关系集合,合并处理电炉变压器负荷计算节点聚类结果,划分全局异常样本点集合,完成电炉变压器负荷数据异常检测。实验结果表明,所提方法的去噪效果较好,对电炉变压器负荷异常查全率和查准率均保持在95%以上,且检测时间保持在600 ms以内,可以高效且准确地实现电炉变压器负荷保护检测。Too high or too low load may lead to instability of transformer for 10 kV electric furnace,and even lead to system collapse or equipment failure.Therefore,a detection method of transformer load protection for 10 kV electric furnace in 35 kV substation based on wavelet transform is proposed.Through empirical wavelet and wavelet transform,the load data of electric furnace transformer with noise is denoised and decomposed into multi-frequency modal functions.Based on kurtosis value,the scale domain of denoised modal functions is divided to reconstruct the load data of electric furnace transformer.Through KD-Tree algorithm,the load data of electric furnace transformer is divided into several evenly distributed partitions,and the reachable distance is calculated to set the threshold of electric furnace transformer load determination.The local cluster association relation set is established,and the clustering results of electric furnace transformer load calculation nodes are merged and processed,and the global abnormal sample point set is divided to complete the abnormal detection of electric furnace transformer load data.The experimental results show that the proposed method has a good denoising effect,and the recall and precision of abnormal load of electric furnace transformer are kept above 95%,and the detection time is kept within 600ms,which can effectively and accurately detect the load protection of electric furnace transformer.
关 键 词:电炉变压器 KD-Tree算法 小波变换 模态函数 可达距离
分 类 号:TP301.6[自动化与计算机技术—计算机系统结构]
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