电子测量与仪器学报

袁莉芬,刘韬,何怡刚,张鹤鸣,束海星.基于 LSA-MP 改进原子分解的电能质量数据压缩方法[J].电子测量与仪器学报,2022,36(1):98-108

基于 LSA-MP 改进原子分解的电能质量数据压缩方法

Power quality data compression method based on lightningsearch algorithm and atomic decomposition

DOI：

英文关键词:atomic decomposition matching pursuit algorithm lightning search algorithm power quality data compression and reconstruction

基金项目: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

作者	单位
袁莉芬	1.合肥工业大学电气与自动化工程学院
刘韬	1.合肥工业大学电气与自动化工程学院
何怡刚	1.合肥工业大学电气与自动化工程学院
张鹤鸣	1.合肥工业大学电气与自动化工程学院
束海星	1.合肥工业大学电气与自动化工程学院

Author	Institution
Yuan Lifen	1.School of Electrical and Automation Engineering, Hefei University of Technology
Liu Tao	1.School of Electrical and Automation Engineering, Hefei University of Technology
He Yigang	1.School of Electrical and Automation Engineering, Hefei University of Technology
Zhang Heming	1.School of Electrical and Automation Engineering, Hefei University of Technology
Shu Haixing	1.School of Electrical and Automation Engineering, Hefei University of Technology

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中文摘要:

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。

英文摘要:

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.

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