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作 者:肖勇 李博 尹家悦 李波 胡珊珊 廖耀华 XIAO Yong;LI Bo;YIN Jiayue;LI Bo;HU Shanshan;LIAO Yaohua(Southern Power Grid Electric Power Research Institute Co.,Ltd.,Guangzhou 510663,China;Guangdong Provincial Key Laboratory of Intelligent Measurement and Advanced Metering of Power Grid,Guangzhou 510663,China;Electric Power Research Institute,Yunnan Power Grid Co.,Ltd.,Kunming 650217,China;Yunnan Key Laboratory of Green Energy,Electric Power Measurement Digitalization,Control and Protection,Kunming 650217,China)
机构地区:[1]南方电网科学研究院有限责任公司,广东广州510663 [2]广东省电网智能量测与先进计量企业重点实验室,广东广州510663 [3]云南电网有限责任公司电力科学研究院,云南昆明650217 [4]云南省绿色能源与数字电力量测及控保重点实验室,云南昆明650217
出 处:《智慧电力》2022年第1期101-107,114,共8页Smart Power
基 金:国家重点研发计划资助项目(2018YFB2100100);南方电网公司科技项目(ZBKJXM20190042)。
摘 要:通过研究小波变换中基函数选取和小波分解过程两个关键问题,针对小波变换在间谐波检测方面的应用,对比分析不同基函数的检测性能,重点分析小波变换与小波包变换对于稳态和暂态谐波的相位、幅值特性检测精度。仿真结果表明,小波包变换具有良好时频局部化特性能聚焦信号细节,选取dmey小波基函数的小波包分解方法可实现对电力系统中稳态或时变间谐波信号更精确的检测和分析,对于小波变换电力谐波检测中的实际应用具有指导意义。The paper focuses on the two key issues of base function selection in wavelet transform and wavelet decomposition process.Targeting the application of the wavelet transform in interharmonic detection,this paper compares and analyzes the detection performance of different basis functions,and emphatically analyzes the detection accuracy of phase and amplitude characteristics of steady-state or transient harmonic signals with the wavelet transform and wavelet packet transform.The simulation results show that the wavelet packet transform has good time-frequency localization characteristics to focus on the details of the signals,and the wavelet packet decomposition method using dmey wavelet basis function can achieve more accurate detection and analysis of the steady-state or time-varying interharmonic signals in power system,which has guiding significance for the practical application of the wavelet transform in power harmonic detection.
分 类 号:TM933[电气工程—电力电子与电力传动]
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