吉林大学学报(工学版) ›› 2018, Vol. 48 ›› Issue (1): 312-318.doi: 10.13229/j.cnki.jdxbgxb20161043

• Orginal Article • Previous Articles     Next Articles

High-precision synchronous phasor measurement based on compressed sensing

YU Hua-nan1, 2, DU Yao1, GUO Shu-xu2   

  1. 1.College of Information Engineering,Northeast Dianli University,Jilin 132012,China;
    2.College of Electronic Science and Engineering,Jilin University,Changchun 130012,China
  • Received:2016-09-20 Online:2018-02-26 Published:2018-02-26

RICH HTML

0   

PDF (PC)

294

Abstract: GPS timing synchronization phasor measurement provides important basis for online analysis of wide-area power signal. Currently discrete Fourier transform method is widely used in synchronization phasor measurement. To eliminate or weaken the measurement error caused by the imprecise synchronous sampling, a high precision synchronous phasor measurement algorithm is proposed. It is based on Compressed Sensing (CS) theory, which modifies discrete Fourier transform to estimate the results. The reconstruction algorithm uses the discrete Fourier transform to rarefy the measuring signal, and takes the Dirichlet matrix as the observation matrix. It also refacors measurement signal with CS refactor algorithm. The simulation results show that, compared with the traditional discrete Fourier transform method, without extending the measurement time, the proposed algorithm can effectively eliminate or weaken the spectrum leakage error and greatly improve the phasor measurement precision of signal.

Key words: information processing technology, discrete Fourier transform, compressive sensing, phasor measurement, reconstruction algorithm

CLC Number: 

  • TM93
[1] 李建,谢小荣,韩英铎. 同步向量测量的若干关键问题[J]. 电力系统自动化,2005,29(1):45-48.
Li Jian, Xie Xiao-rong, Han Ying-duo.Key issues of the synchronized vector measurement[J]. Automation of Electric Power Systems, 2005, 29(1):45-48.
[2] 吴京涛,谢小荣,王立鼎,等. 广域测量系统在电力系统的发展与展望[J]. 电力设备,2006,7(3):26-29.
Wu Jing-tao, Xie Xiao-rong, Wang Li-ding, et al.Wide Area Measurement System Development and Prospect in the power system[J]. Electric Power Equipment, 2006, 7(3):26-29.
[3] Alasti H.Non-uniform-level crossing sampling for efficient sensing of temporally sparse signals[J]. Wireless Sensor Systems, 2014, 4(1):27-34.
[4] 王茂海,孙元章. 基于DFT的电力系统相量及功率测量新算法[J]. 电力系统自动化,2005,29(2):20-24.
Wang Mao-hai, Sun Yuan-zhang.A DFT-based method for phasor and power measurement in power systems[J]. Automation of Electric Power Systems, 2005, 29(2):20-24.
[5] 周捷,陈尧,崔建中. 母线电压同步相角测量算法研究及实现[J]. 继电器,2002,30(3):13-16.
Zhou Jie,Chen Yao,Cui Jian-zhong.Study and implementation of the algorithm for bus synchronized voltage phase angle measurement[J]. Relay,2002,30(3):13-16.
[6] Kamwa I, Samantaray S R, Joos G.Compliance analysis of PMU algorithms and devices for wide-area stabilizing control of large power systems[J]. IEEE Trans on Power Systems, 2013, 28(2):1766-1778.
[7] 汪芙平,靳夏宁,王赞基. 实现动态相量测量的FIR数字滤波器最优设计[J]. 中国电机工程学报,2014,34(15):2388-2395.
Wang Fu-ping, Jin Xia-ning, Wang Zan-ji.Optimal design of FIR digital filters for dynamic phasor measurement[J]. Proceedings of the CSEE, 2014, 34(15):2388-2395.
[8] 徐建源,王亮,林莘,等. 基于递推DFT同步相量测量算法的研究[J]. 高压电器,2011,47(11):40-44.
Xu Jian-yuan, Wang Liang, Lin Shen, et al.Based on recursive DFT phasor measurement algorithm[J]. High Voltage Apparatus, 2011, 47(11):40-44.
[9] 丁涛,董柏峰,顾伟,等. 基于PMU的电压稳定动态线性化指标优化切负荷算法[J]. 电力系统保护与控制,2013,41(9):27-33.
Ding Tao, Dong Bai-feng, Gu Wei, et al.Optimization of a load shedding scheme using dynamic voltage stability linearized index based on PMU[J]. Power System Protection and Control, 2013, 41(9):27-33.
[10] Faiz J, Lotfi-fard S, Shahri S H. Prony-based optimal bayes fault classification of overcurrent protection[J]. IEEE Transactions on Power Delivery, 2007, 22(3):1326-1334.
[11] Mai R K, He Z Y, Fu L, et al.A dynamic synchrophasor estimation algorithm for online application[J]. IEEE Transactions on Power Delivery, 2010, 25(2):570-578.
[12] 毕天姝,刘灏,杨奇逊. PMU 算法动态性能及其测试系统[J]. 电力系统自动化,2014,38(1):62-67.
Bi Tian-shun, Liu Hao, Yang Qi-xun.PMU algorithm and dynamic performance test system[J]. Automation of Electric Power Systems, 2014, 38(1):62-67.
[13] Donoho D L.Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4):1289-1306.
[14] Donoho D L, Tsaig Y.Extensions of compressed sensing[J]. Signal Processing, 2006, 86(3):533-548.
[15] C37.118—2005. IEEE standard for synchrophasors for power systems[S].
[1] YING Huan,LIU Song-hua,TANG Bo-wen,HAN Li-fang,ZHOU Liang. Efficient deterministic replay technique based on adaptive release strategy [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1917-1924.
[2] LIU Zhong-min,WANG Yang,LI Zhan-ming,HU Wen-jin. Image segmentation algorithm based on SLIC and fast nearest neighbor region merging [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1931-1937.
[3] SHAN Ze-biao,LIU Xiao-song,SHI Hong-wei,WANG Chun-yang,SHI Yao-wu. DOA tracking algorithm using dynamic compressed sensing [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1938-1944.
[4] YAO Hai-yang, WANG Hai-yan, ZHANG Zhi-chen, SHEN Xiao-hong. Reverse-joint signal detection model with double Duffing oscillator [J]. 吉林大学学报(工学版), 2018, 48(4): 1282-1290.
[5] QUAN Wei, HAO Xiao-ming, SUN Ya-dong, BAI Bao-hua, WANG Yu-ting. Development of individual objective lens for head-mounted projective display based on optical system of actual human eye [J]. 吉林大学学报(工学版), 2018, 48(4): 1291-1297.
[6] CHEN Mian-shu, SU Yue, SANG Ai-jun, LI Pei-peng. Image classification methods based on space vector model [J]. 吉林大学学报(工学版), 2018, 48(3): 943-951.
[7] CHEN Tao, CUI Yue-han, GUO Li-min. Improved algorithm of multiple signal classification for single snapshot [J]. 吉林大学学报(工学版), 2018, 48(3): 952-956.
[8] MENG Guang-wei, LI Rong-jia, WANG Xin, ZHOU Li-ming, GU Shuai. Analysis of intensity factors of interface crack in piezoelectric bimaterials [J]. 吉林大学学报(工学版), 2018, 48(2): 500-506.
[9] LIN Jin-hua, WANG Yan-jie, SUN Hong-hai. Improved feature-adaptive subdivision for Catmull-Clark surface model [J]. 吉林大学学报(工学版), 2018, 48(2): 625-632.
[10] WANG Ke, LIU Fu, KANG Bing, HUO Tong-tong, ZHOU Qiu-zhan. Bionic hypocenter localization method inspired by sand scorpion in locating preys [J]. 吉林大学学报(工学版), 2018, 48(2): 633-639.
[11] WANG Fang-shi, WANG Jian, LI Bing, WANG Bo. Deep attribute learning based traffic sign detection [J]. 吉林大学学报(工学版), 2018, 48(1): 319-329.
[12] LIU Dong-liang, WANG Qiu-shuang. Instantaneous velocity extraction method on NGSLM data [J]. 吉林大学学报(工学版), 2018, 48(1): 330-335.
[13] TANG Kun, SHI Rong-hua. Detection of wireless sensor network failure area based on butterfly effect signal [J]. 吉林大学学报(工学版), 2017, 47(6): 1939-1948.
[14] LI Juan, MENG Ke-xin, LI Yue, LIU Hui-li. Seismic signal noise suppression based on similarity matched Wiener filtering [J]. 吉林大学学报(工学版), 2017, 47(6): 1964-1968.
[15] YANG Chao-yu, LI Ce, LIANG Yin-cheng, YANG Feng. Blurred object detection based on improved particle filter in coal mine underground surveilance [J]. 吉林大学学报(工学版), 2017, 47(6): 1976-1985.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd