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JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE)  2017, Vol. 51 Issue (12): 2429-2435    DOI: 10.3785/j.issn.1008-973X.2017.12.016
Electric Engineering     
Rapid detection of voltage sag in AC micro-grid using HHT-LES algorithm
ZHANG Ren, XU Fang, PAN Guo-bing, WANG Jian-feng
Key Laboratory of E & M, Ministry of Education and Zhejiang Province, Zhejiang University of Technology, Hangzhou 310014, China
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Abstract  

In micro-grid of small inertia and small capacity, micro-source or load fluctuations can easily cause the AC feeder voltage drop, affecting the system's stability. Aiming at this problem, a HHT-LES voltage sag rapid detection method was proposed with integration of Hilbert-Huang transform (HHT) and least error squares (LES) algorithm. The variable window sampling was realized by the short time HHT adaptive sampling algorithm; the time, amplitude and phase transition time of the voltage sag were realized by using the improved LES algorithm. The simulation model shows that the system's response speed and detection accuracy can be increased by 20% compared with the d-q transformation or HHT method. Based on the above method, the NPQC prototype was developed and verified on the micro-grid voltage drop test platform; the influence of the algorithm on the response time and detection accuracy was analyzed. The experimental results show that the algorithm can detect the voltage sag of micro-grid within 5.2 ms.



Received: 20 September 2016      Published: 22 November 2017
CLC:  TM76  
Cite this article:

ZHANG Ren, XU Fang, PAN Guo-bing, WANG Jian-feng. Rapid detection of voltage sag in AC micro-grid using HHT-LES algorithm. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2017, 51(12): 2429-2435.

URL:

http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2017.12.016     OR     http://www.zjujournals.com/eng/Y2017/V51/I12/2429


采用HHT-LES算法的交流微网电压暂降快速检测

微电网惯性小、容量小,微源或负载的波动极易造成交流馈线的电压暂降,影响系统的稳定性.提出一种融合希尔伯特-黄变换(HHT)和最小方差滤波(LES)算法的HHT-LES电压暂降快速检测方法.利用短时HHT自适应采样算法实现可变窗口采样,并结合改进型LES算法实现对电压暂降的时间、幅值和相位跳变时刻的检测.仿真模型表明,与d-q变换或HHT方法相比,系统响应速度和检测精度都可提高20%.基于上述方法研制的新型电能质量综合控制器(NPQC)样机,在微网电压暂降实验平台进行验证;分析该算法对响应时间与检测精度的影响.试验结果表明,该算法可在5.2 ms内实现对微电网电压暂降的快速检测.

[1] AHMADIAN A, SEDGHI M, ALIAKBAR-GOLKAR M, et al. Two-layer optimization methodology for wind distributed generation planning considering plug-in electric vehicles uncertainty:a flexible active-reactive power approach[J]. Energy Conversion and Management, 2016, 124:231-246.
[2] RAHMANI-ANDEBILI M. Distributed generation placement planning modeling feeder's failure rate and customer's load type[J]. IEEE Transactions on Industrial Electronics, 2016, 63(3):1598-1606.
[3] AHMED N R, CORTES J, MARTINEZ S. Distributed control and estimation of robotic vehicle networks:anoverview of part 2[J]. IEEE Control Systems, 2016,36(4):18-21.
[4] NABIPOUR M, RAZAZ M, SEIFOSSADAT S G H, et al. A novel adaptive fuzzy membership function tuning algorithm for robust control of a PV-based dynamic voltage restorer (DVR)[J]. Engineering Applications ofArtificial Intelligence, 2016, 53:155-175.
[5] WANG S K. Coordinated parameter design of power system stabilizers and static synchronous compensator using gradual hybrid differential evaluation[J]. Interna-tional Journal of Electrical Power and Energy Systems, 2016, 81:165-174.
[6] HE J, LI Y W, WANG R, et al. A measurement method to solve a problem of using DG interfacing converters for selective load harmonic filtering[J]. IEEE Transactions on Power Electronics, 2016, 31(3):1852-1856.
[7] 雷亚国.基于改进Hilbert-Huang变换的机械故障诊断[J].机械工程学报, 2011,47(5):71-77. LEI Ya-guo. Machinery fault diagnosis based onimproved Hilbert-Huang transform[J]. Journal ofmechanical Engineering, 2011,47(5):71-77.
[8] 宋海军,黄传金,刘宏超,等.基于改进LMD的电能质量扰动检测新方法[J].中国电机工程学报, 2014,34(10):1700-1708. SONG Hai-jun, HUANG Chuan-jin, LIU Hong-chao, et al. A new power quality disturbance detection method based on the improved LMD[J]. Proceedings of the CSEE. 2014, 34(10):1700-1708.
[9] 黄正梁,胡雨晨,王靖岱,等.基于希尔伯特-黄变换测量搅拌釜临界分散转速[J].浙江大学学报:工学版,2012, 46(9):1685-1691. HUANG Zheng-liang, HU Yu-chen, WANG Jing-dai, et al. Measurement of critical dispersion speed in stirred tank based on Hilbert-Huang transform[J]. Journal of Zhejiang University:Engineering Science, 2012, 46(9):1685-1691.
[10] BARMUTA P, AVOLIO G, FERRANTI F, et al. Hybrid nonlinear modeling using adaptive sampling[J]. IEEE Transactions on Microwave Theory and Techniques, 2015, 63(12):4501-4510.
[11] REN Y, ZHAO Y, ZHAO Z, et al. A novel adaptive sampling method for interpolation/extrapolation in time and frequency domains[J]. Journal of Electromagnetic Waves and Applications, 2014, 28(10):1167-1174.
[12] 陈国栋,朱淼,蔡旭,等.一种软件锁相环和电压跌落检测新算法[J].中国电机工程学报,2014, 34(25):4385-4394. CHEN Guo-dong, ZHU Miao, CAI Xu, et al. A new algorithm for software phase locked loop and voltage drop detection[J]. Proceedings of the CSEE. 2014,34(25):4385-4394.
[13] EBRAHIMZADEH E, FARHANGI S, IMAN-EINI H, et al. Improved phasor estimation method fordynamic voltage restorer applications[J]. IEEE Tran-sactions on Power Delivery, 2015, 30(3):1467-1477.
[14] ZADEH R A, GHOSH A, LEDWICH G. Combination of Kalman filter and least-error square techniques in power system[J]. IEEE Transactions on PowerDelivery, 2010, 25(4):2868-2880.

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