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作 者:杨隽豪 韦延方[1,2] 王鹏 王晓卫 曾志辉[1] YANG Junhao;WEI Yanfang;WANG Peng;WANG Xiaowei;ZENG Zhihui(School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454003,Henan Province,China;Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment(Henan Polytechnic University),Jiaozuo 454003,Henan Province,China;State Grid Henan Electric Power Company Electric Power Research Institute,Zhengzhou 450052,China;School of Electrical Engineering,Xi'an University of Technology,Xi'an 710048,China)
机构地区:[1]河南理工大学电气工程与自动化学院,河南省焦作市454003 [2]河南省煤矿装备智能检测与控制重点实验室(河南理工大学),河南省焦作市454003 [3]国网河南省电力公司电力科学研究院,郑州市450052 [4]西安理工大学电气工程学院,西安市710048
出 处:《电力建设》2023年第5期53-60,共8页Electric Power Construction
基 金:国家自然科学基金(61703144)。
摘 要:针对柔性直流电网现有故障诊断方法存在精度不高、易受过渡电阻影响、需人工整定阈值、不满足速动性等问题,提出了一种基于Swin Transformer的柔性直流电网单端量故障诊断方法。首先,采集故障时暂态电压时域数据,并且经数据处理转化为识别效果更好的二维格拉姆角场图像,用于Swin Transformer离线训练;然后,利用Swin Transformer的移动窗口提取故障特征,根据训练结果实现不同故障诊断,该方法无需人工整定阈值。最后,经过大量仿真证明所提方法的有效性,结果显示,所提方法满足速动性,能准确诊断故障,并且耐受过渡电阻及抗噪声能力强。In this study,a single-ended fault diagnosis method for flexible DC power grids based on Swin Transformer is proposed to address the problems of low precision,susceptibility to transition resistance,and requiring manual input to set the threshold in the existing fault detection methods of flexible DC power grids.First,we collect the transient voltage timedomain data at fault and convert it into a two-dimensional gramian angular field(GAF)image with a better recognition effect after data processing,which is used for offline training of the Swin Transformer;Second fault features are extracted using the moving window of the Swin Transformer,and different fault diagnoses are realized according to the training results.This method does not require manual setting of the threshold.Finally,after many simulations,it is proven that the method proposed in this study satisfies the quick action requirement,can accurately diagnose faults,and has strong transition resistance and anti-noise ability.
关 键 词:柔性直流电网 swin transformer 故障诊断 格拉姆角场 单端量
分 类 号:TM773[电气工程—电力系统及自动化]
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