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Reconstruction of Harmonic Signal with Inter-Harmonics under Inductive Power Supply Technology |
Xin Guoqing1, Dong Weiguang1, Gao Fengyang1, Lü Xiaoqiang2 |
1. School of Electrical Engineering and Automation Lanzhou Jiaotong University Lanzhou 730070 China; 2. State Grid Gansu Maintenance Company Jiuquan 735000 China |
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Abstract When inductive power supply (IPS) technology was adopted, acquisition of the harmonic signals contain inter-harmonic signals due to spectrum leakage and grid effects caused by asynchronous sampling. Aiming at this phenomenon, a new type of spectral projected gradient with line interpolation correction (SPG-LIC) was proposed to reconstruct harmonic signals with inter-harmonics. Firstly, the short-range spectrum leakage was suppressed by fast Fourier transform after adding window and made the transformed signal have high sparseness. Secondly, the multi-spectral interpolation algorithm was introduced to suppress the long-range spectrum leakage and gate effect. Finally, by estimating the signal sparseness, the original signal was reconstructed by using the spectral projection gradient algorithm and compared with other reconstruction algorithms. The simulation results show that the SPG-LIC algorithm has a higher reconstruction signal-to-noise ratio, accuracy and shorter reconstruction time than other reconstruction algorithms.
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Received: 16 October 2019
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[1] 陈晓静, 李开成, 肖剑, 等. 一种实时电能质量扰动分类方法[J]. 电工技术学报, 2017, 32(3): 45-54. Chen Xiaojing, Li Kaicheng, XiaoJian, et al. A method real-time power quality disturbance classification[J]. Transactions of China Electrotechnical Society, 2017, 32(3): 45-54. [2] 王维博, 董蕊莹, 曾文入, 等. 基于改进阈值和阈值函数的电能质量小波去噪方法[J]. 电工技术学报, 2019, 34(2): 211-220. Wang Weibo, Dong Ruiying, Zeng Wenru, et al.A wavelet de-noising method for power quality based on an improved threshold and threshold function[J]. Transactions of China Electrotechnical Society, 2019, 34(2): 211-220. [3] 曹玲芝, 刘俊飞, 郑晓婉. 基于EEMD的HHT在电能质量多扰动分类识别中的应用[J]. 电气技术, 2017, 18(4): 66-70. Cao Lingzhi, Liu Junfei, Zheng Xiaowan.Classification and recognition of power quality multi-disturbance based on EEMD-HHT[J]. Electrical Technology, 2017, 18(4): 66-70. [4] 刘嫣, 汤伟, 刘宝泉. 基于压缩感知的电能质量扰动数据稀疏分析与改进重构算法[J]. 电工技术学报, 2018, 33(15): 34-45. Liu Yan, Tang Wei, Liu Baoquan.Data sparse analysis and improved reconstruction algorithm of power quality disturbance based on compressed sensing[J]. Transactions of China Electrotechnical Society, 2018, 33(15): 34-45. [5] Donoho D.Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1280-1306. [6] Candes E, Wakin M B.An introduction to compressive sampling[J]. IEEE Signal Processing Magazine, 2008, 25(2): 21-30. [7] Chakraborty S, Chatterjee A, Goswami S K, et al.Asparse representation based approach for recognition of power system transients[J]. Engineering Application of Artificial Intelligence, 2014, 30: 137-144. [8] 杨挺, 武金成, 袁博. 谐波和间谐波检测的压缩感知恢复算法[J]. 中国电机工程学报, 2015, 35(21): 5475-5482. Yang Ting, Wu Jincheng, Yuan Bo.The restoration algorithm of compressed sensing to detect harmonic and inter-harmonic[J]. Proceedings of the CSEE, 2015, 35(21): 5475-5482. [9] Needell D, Tropp J A.CoSaMP: Iterative signal recovery from incomplete and inaccurate samples[J]. Appliedand Computational Harmonic Analysis, 2009, 26(3): 301-321. [10] Figueiredo M A T, Nowak R D, Wright S J. Gradient projection for sparse reconstruction: application to compressed sensing and other inverse problems[J]. IEEE Journal of Selected Topics in Signal Processing, 2007, 1(4): 586-597. [11] Ewout V D B, Friedlander M P. Probing the pareto frontier for basis pursuit solutions[J]. SIAM Journalon Scientific Computing, 2009, 31(2): 890-912. [12] Beck A, Teboulle M.A fast iterative shrinkage-thresholding algorithm for linear inverse problems[J]. SIAM Journal on Imaging Sciences, 2009, 2(1): 183-202. [13] 王学伟, 王琳, 苗桂君, 等. 暂态和短时电能质量扰动信号压缩采样与重构方法[J]. 电网技术, 2012, 36(3): 191-196. Wang Xuewei, Wang Lin, Miao Guijun, et al.An approach for compressive sampling and reconstruction of transient and short-time power quality disturbance signals[J]. Power System Technology, 2012, 36(3): 191-196. [14] 陈雷, 郑德忠, 廖文喆. 基于压缩感知的含扰电能质量信号压缩重构方法[J]. 电工技术学报, 2016, 31(8): 163-170. Chen Lei, Zheng Dezhong, Liao Wenzhe.Method based on compressed sensing for compression and reconstruction of power quality signals with disturbances[J]. Transactions of China Electrotechnical Society, 2016, 31(8): 163-170. [15] Zhang Ruoyu, Zhao Honglin.An improved sparsity estimation variable step-size matching pursuit algorithm[J]. Journal of Southeast University: English Edition, 2016, 32(2): 164-169. [16] 董唯光, 张晓东, 汤旻安, 等. 基于ITD与改进内积的压缩感知风电变流器电压信重建方法[J]. 高电压技术, 2018, 44(7): 2338-2345. Dong Weiguang, Zhang Xiaodong, Tang Minan, et al.Voltage signal reconstruction method of wind power converter based on ITD and improved inner product compressed sensing[J]. High Voltage Engineering, 2018, 44(7): 2338-2345. [17] 范满义, 史黎明, 殷正刚, 等. 感应电能传输系统基于阶梯波合成技术的谐波消除和脉冲密度功率调节方法[J]. 中国电机工程学报, 2017, 37(22): 6516-6523. Fan Manyi, Shi Liming, Yin Zhenggang, et al.Harmonic elimination and power regulation with pulse density modulation based on staircase waveform for multilevel inverters in inductive power transfer system[J]. Proceedings of the CSEE, 2017, 37(22): 6516-6523. [18] 荣文帅, 蔡志远. 断路器同步分断短路电流零点预测方法研究[J]. 电工技术学报, 2019, 34(15): 3167-3174. Rong Wenshuai, Cai Zhiyuan.Research on zero prediction method of synchronous breaking short circuit current of breaker[J]. Transactions of China Electrotechnical Society, 2019, 34(15): 3167-3174. [19] 翟晓军, 周波. 一种改进的插值FFT谐波分析算法[J].中国电机工程学报, 2016, 36(11): 2952-2958. Zhai Xiaojun, Zhou Bo.An improved interpolated FFT algorithm for harmonic analysis[J]. Proceedings of the CSEE, 2016, 36(11): 2952-2958. [20] 王保帅, 肖霞. 一种用于谐波分析的高精度多谱线插值算法[J]. 电工技术学报, 2018, 33(3): 553-562. Wang Baoshuai, Xiao Xia.A high accuracy multi-spectrum-line interpolation algorithm for harmonic analysis[J]. Transactions of China Electrotechnical Society, 2018, 33(3): 553-562. [21] Ghahremani M, Ghassemian H.A compressed-sensing-based pan-sharpening method for spectral distortion reduction[J]. IEEE Transactions on Geoscience & Remote Sensing, 2016, 54(4): 2194-2206. [22] 李剑飞, 陈隆道. 应用于电力谐波分析的改进插值算法[J]. 电力系统自动化, 2019, 43(8): 138-146. Li Jianfei, Chen Longdao.Improved interpolation algorithm applied to power harmonic analysis[J]. Automation of Electric Power Systems, 2019, 43(8): 138-146. [23] 张建忠, 耿治, 徐帅, 等. 一种有源电力滤波器的改进自适应谐波检测算法[J]. 电工技术学报, 2019, 34(20): 4323-4333. Zhang Jianzhong, Geng Zhi, Xu Shuai.et al.An improved adaptive harmonic detection algorithm for active power filter[J]. Transactions of China Electrotechnical Society, 2019, 34(20): 4323-4333. [24] Yang Lu, Guo Wenbin, Xing Wang, et al.Probabilistic greedy pursuit for streaming compressed spectrum sensing[J]. The Journal of China Universities of Posts and Telecommunications, 2013, 18(5): 15-21. |
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