摘要
电能质量数据压缩是电能质量问题检测和识别中的重要步骤,其本质即为探寻电能质量稀疏特征的过程。针对稀疏分解中常用的匹配追踪算法在匹配最佳原子时计算复杂度高、耗时长,不能满足电力信号分析实时性要求的问题,应用收敛精度高、收敛速度快以及全局寻优能力强的闪电搜索算法搜索最佳原子,提出了闪电搜索匹配追踪算法。利用所提算法在构建的电能质量相关原子库中对电能质量信号进行原子分解,提取电能质量特征参数,将提取到的参数作为压缩后的电能质量数据,实现电能质量数据压缩。实验结果表明,所提算法匹配最佳原子的耗时约缩短为原算法的1/98,基于所提算法的电能质量数据压缩方法在匹配最佳原子满足电力信号分析的实时性要求,具有较高的压缩率和较低的重构误差,提高了数据压缩的性能。
Power quality data compression is an important step in the detection and identification of power quality problems.Its essence is the process of exploring power quality sparse features.Aiming at the problem that the matching pursuit algorithm commonly used in sparse decomposition cannot meet the real-time requirement of power signal analysis because of its high computational complexity and long time-consuming in matching the best atom,a lightning search matching and tracing algorithm is proposed by applying the lightning search algorithm with high convergence precision,fast convergence speed and strong global search ability to search the best atom.The proposed algorithm is used to decompose the power quality signal into atoms and extract the characteristic parameters of power quality,and the extracted parameters are used as the compressed power quality data,realization of power quality data compression.The experimental results show that the time of the proposed algorithm to match the best atom is reduced to 1/98 of the original algorithm,and the power quality data compression method based on the proposed algorithm meets the real-time requirement of power signal analysis when the best atom is matched,with high compression ratio and low reconstruction error,the performance of data compression is improved.
作者
袁莉芬
刘韬
何怡刚
张鹤鸣
束海星
Yuan Lifen;Liu Tao;He Yigang;Zhang Heming;Shu Haixing(School of Electrical and Automation Engineering,Hefei University of Technology,Hefei 230009,China)
出处
《电子测量与仪器学报》
CSCD
北大核心
2022年第1期98-108,共11页
Journal of Electronic Measurement and Instrumentation
基金
国家重点研发计划“重大科学仪器设备开发”项目(2016YFF0102200)
国家自然科学基金重点项目(51637004)资助
关键词
原子分解
匹配追踪算法
闪电搜索算法
电能质量
数据压缩
atomic decomposition
matching pursuit algorithm
lightning search algorithm
power quality
data compression and reconstruction
作者简介
通信作者:袁莉芬,分别在1999年于中南大学获得学士学位,2003年和2011年于湖南大学获得硕士学位和博士学位,现为合肥工业大学教授,主要研究方向为测试与故障诊断、智能电网技术、射频识别技术。E-mail:yuanlifen_hfut@163.com;刘韬,在2019年于安徽大学获得学士学位,现为合肥工业大学电气与自动化工程学院硕士研究生,主要研究方向为智能电网技术和信号处理技术。E-mail:1690027558@qq.com
