回溯自适应匹配追踪电能质量信号重构方法

发布时间：2018-01-27 13:42

本文关键词： 电能质量压缩感知匹配追踪自适应回溯算法　出处：《电子测量与仪器学报》2017年05期 　论文类型：期刊论文

【摘要】：为改善电能质量暂稳态信号重构性能,提出了基于压缩感知理论的回溯自适应匹配追踪的电能质量信号重构方法,对电能质量信号进行处理。在自适应匹配追踪的基础上改变一个回溯步骤,初选出满足条件的候选集,然后在终选步骤中利用回溯功能,剔除系数相对较小的原子,所以该方法能够灵活地删除一些被在初选时被错误选择的原子,有着更好的稀疏信号重构和逼近性能。另外该方法无需先验信号的稀疏度,具有稀疏度自适应能力。仿真实验结果表明,10种电能质量信号的压缩重构精度都在97.63%以上,能量恢复系数要高于99.57%,信噪比高于31.42dB,均方误差百分比在2.31%之内,都能达到很好的性能指标。
[Abstract]:In order to improve the performance of power quality transient signal reconstruction, a power quality signal reconstruction method based on compression-sensing theory and traceback adaptive matching tracking is proposed. On the basis of adaptive matching tracking, the power quality signal is processed. A backtracking step is changed, the candidate set that meets the conditions is selected, and the backtracking function is used in the final selection step. With the elimination of atoms with relatively small coefficients, the method has the flexibility to remove some atoms that were wrongly selected in primary elections. This method has better sparse signal reconstruction and approximation performance. In addition, the method does not need the sparse degree of prior signal, and has the ability of self-adaptive sparsity. The simulation results show that. The compression and reconstruction accuracy of the 10 kinds of power quality signals are all above 97.63%, the energy recovery coefficient is higher than 99.577.The signal-to-noise ratio is higher than 31.42dB. The percentage of mean square error is within 2.31%, which can achieve good performance.
【作者单位】：江苏大学电气信息工程学院;南瑞集团公司国网电力科学研究院;
【基金】：国家自然科学基金(61301138) 江苏省自然科学基金(BK20130501) 江苏省博士后科研项目(1401053C) 江苏大学高级人才启动基金(10JDG136)资助项目
【分类号】：TN911.7
【正文快照】： 1引言随着现代科技水平的快速发展,国家对清洁能源的需求正在逐步扩大。传统能源如石油、煤炭、天然气等都是一次不可再生能源[1]。面对气候变化、资源短缺、结构调整等因素,国家十二五计划把大力发展水电、核电和其他可再生能源发电作为重要任务,电能在能源体系中发挥着越来

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