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基于自适应变分模式分解的非稳态电压闪变包络参数检测 被引量:13

Non-Stationary Voltage Flicker Envelope Parameters Detection Based on Adaptive Variational Mode Decomposition
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摘要 针对非稳态时变的电压闪变包络参数准确检测难题,提出一种基于自适应变分模态分解的电压闪变包络参数检测方法。首先通过Hilbert变换检波法快速提取电压闪变包络信号;再采用损失系数和能量差作为确定模态分解个数的判断依据,利用自适应变分模态分解闪变包络信号;最后通过Hilbert谱分析求取瞬时幅值和瞬时频率,确定电压闪变包络参数,并开发基于虚拟仪器的电压闪变参数检测实验平台。仿真与实测结果表明,该文方法能有效实现非稳态闪变包络参数的准确检测与分析,可有效克服电网工频波动、叠加谐波和噪声的干扰,相比现有的检测方法具有更高的准确度。 Focusing on the difficulty of non-stationary and time-varying voltage flicker envelope parameters detection,a voltage flicker envelope parameter detection method based on adaptive variational mode decomposition was proposed.Firstly,the voltage flicker envelope signal was rapidly extracted by the Hilbert transform,and then the loss coefficient and energy difference was used as the judgment basis to determine the number of modal decompositions,and the flicker envelope signal was decomposed by the adaptive variational mode decomposition;finally,the instantaneous amplitude and instantaneous frequency was obtained by Hilbert transform and the voltage flicker envelope parameters were confirmed,and the voltage flicker parameter detection test platform based on virtual instrument was developed.The simulation and actual measurement results show that the non-stationary voltage flicker envelope parameters can be accurately detected and analyzed by the proposed algorithm,and the interference of power grid frequency deviation,harmonics and noise can be effectively overcame.Compared with the existing detection methods,this method has higher accuracy.
作者 张民谣 高云鹏 吴聪 黄瑞 曹一家 Zhang Minyao;Gao Yunpeng;Wu Cong;Huang Rui;Cao Yijia(College of Electric and Information Engineering,Hunan University,Changsha,410082,China;State Grid Hunan Electric Power Limited Company,Changsha,410004,China)
出处 《电工技术学报》 EI CSCD 北大核心 2021年第3期599-608,共10页 Transactions of China Electrotechnical Society
基金 国家自然科学基金(51777061) 国网科技项目(5216AB180007) 长沙市重点研发计划(kq1901029)资助项目。
关键词 电压闪变 变分模态分解 损失系数 希尔伯特变换 非稳态信号 Voltage flicker variational mode decomposition loss coefficient Hilbert transform non-stationary signal
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