基于相空间重构的电压缺口检测及特征参数辨识
发布时间：2018-11-13 16:27
【摘要】：电压缺口是由静电放电、电力电子设备换相等引起的电网电压周期性扰动。电压缺口扰动的频率非常高,用常规信号分析方法很难准确检出。该文提出一种利用相空间重构理论对电压缺口进行检测和特征参数辨识的方法。利用坐标延迟法重构吸引子,采用互信息函数法确定最优时延,通过计算序列的关联维数确定最佳嵌入维。电压缺口信号重构相空间后的相轨迹被分为常规和扰动两部分,据此对电压缺口进行检测并提取出缺口发生角度、宽度、均方根深度和最大深度等特征参量。仿真结果表明提出的方法可准确检测电压缺口并实现特征参数的有效辨识,并将所提方法与小波变换检测方法进行对比。该文所提方法避免了传统方法运算量大、难以进行实时分析的缺点。
[Abstract]:Voltage gap is the periodic disturbance of power grid voltage caused by electrostatic discharge and replacement of power electronic equipment. The frequency of voltage gap disturbance is very high, it is difficult to detect it accurately by conventional signal analysis method. In this paper, a phase space reconstruction theory is proposed to detect voltage gap and identify characteristic parameters. The attractor is reconstructed by the coordinate delay method, the optimal delay is determined by the mutual information function method, and the optimal embedding dimension is determined by calculating the correlation dimension of the sequence. The phase trajectory of the reconstructed phase space of the voltage gap signal is divided into two parts: conventional and perturbed. Based on this, the characteristic parameters of the voltage gap such as the angle, width, root mean square depth and maximum depth of the voltage gap are detected and extracted. The simulation results show that the proposed method can accurately detect the voltage gap and realize the effective identification of the characteristic parameters. The proposed method is compared with the wavelet transform detection method. The method proposed in this paper avoids the disadvantages of the traditional method, which is difficult to analyze in real time.
【作者单位】： 电力电子节能与传动控制河北省重点实验室(燕山大学);
【基金】：国家自然科学基金资助项目(51477147,51607153) 河北省自然科学基金项目(E2016203268) 河北省教育厅资助科研项目(QN2015124)~~
【分类号】：TM930
[Abstract]:Voltage gap is the periodic disturbance of power grid voltage caused by electrostatic discharge and replacement of power electronic equipment. The frequency of voltage gap disturbance is very high, it is difficult to detect it accurately by conventional signal analysis method. In this paper, a phase space reconstruction theory is proposed to detect voltage gap and identify characteristic parameters. The attractor is reconstructed by the coordinate delay method, the optimal delay is determined by the mutual information function method, and the optimal embedding dimension is determined by calculating the correlation dimension of the sequence. The phase trajectory of the reconstructed phase space of the voltage gap signal is divided into two parts: conventional and perturbed. Based on this, the characteristic parameters of the voltage gap such as the angle, width, root mean square depth and maximum depth of the voltage gap are detected and extracted. The simulation results show that the proposed method can accurately detect the voltage gap and realize the effective identification of the characteristic parameters. The proposed method is compared with the wavelet transform detection method. The method proposed in this paper avoids the disadvantages of the traditional method, which is difficult to analyze in real time.
【作者单位】： 电力电子节能与传动控制河北省重点实验室(燕山大学);
【基金】：国家自然科学基金资助项目(51477147,51607153) 河北省自然科学基金项目(E2016203268) 河北省教育厅资助科研项目(QN2015124)~~
【分类号】：TM930
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相关期刊论文 前5条
1 林意;程诚;;基于相空间重构的负荷动态分析[J];淮海工学院学报(自然科学版);2011年01期
2 武峰雨;乐秀t，
本文编号：2329683
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