基于坐标变换的风电变流器电压信号CS压缩方法

发布时间：2018-01-15 02:12

本文关键词：基于坐标变换的风电变流器电压信号CS压缩方法　出处：《电子测量与仪器学报》2016年12期 　论文类型：期刊论文

【摘要】：为了解决直接利用压缩感知(CS)理论对风电变流器输出端三相电压监测数据存储空间的资源浪费以及重构性能差等问题,提出了一种基于坐标变换的风电变流器电压信号CS压缩方法。该方法的关键是利用dq0变换、空间矢量变换将三相电压信号转换为一维信号;然后将传统的多频带融合思想用于CS稀疏表示中,构造稀疏字典矩阵,并分析了稀疏字典与测量矩阵的不相关性;最后利用高斯随机矩阵进行压缩测量,使用追踪算法实现一维信号的恢复,将其转化为两相信号并作坐标反变换,即得到重构的三相电压信号。仿真结果表明,与直接对监测的三相电压数据进行CS处理相比,该方法可有效的压缩原始三相电压数据,使得运行时间降低,重构误差减小,并且节约了测量数据的存储空间,因而更加具有实际应用价值。
[Abstract]:In order to solve the problem of resource waste and poor reconstruction performance of three-phase voltage monitoring data storage space of wind power converter output terminal by using CSC theory directly. A CS compression method of wind power converter voltage signal based on coordinate transformation is proposed. The key of this method is to convert three-phase voltage signal into one-dimensional signal by using dq0 transform and space vector transform. Then the traditional multi-band fusion idea is applied to CS sparse representation, and the sparse dictionary matrix is constructed, and the correlation between sparse dictionary and measurement matrix is analyzed. Finally, Gao Si random matrix is used for compression measurement, and the tracking algorithm is used to realize the recovery of one-dimensional signal. The signal is converted into two-phase signal and transformed into coordinate inverse transformation, that is, the reconstructed three-phase voltage signal is obtained. The simulation results show that. Compared with CS processing of the three phase voltage data, this method can compress the original three phase voltage data effectively and reduce the running time and reconstruction error. And the storage space of measurement data is saved, so it has more practical application value.
【作者单位】：兰州交通大学自动化与电气工程学院;兰州理工大学机电工程学院;
【基金】：国家自然科学基金(51465034) 甘肃省高等学校基本科研业务费(213063)资助项目
【分类号】：TM46;TM614
【正文快照】： 1引言随着风电机组的迅猛发展,风能将是第3大常规能源。风电变流器是风力发电中重要的能量转化部件,一旦变流器发生故障,则可能导致风电机组停机或者受到更为严重的破坏,也使得风电场的调度造成了一定的影响,这就需要及时对最容易产生故障的全功率变流器进行远程电压信号监测

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