Signal and Information Processing

Comparison of Complex and Real Wavelet Transforms in Islanding Detection

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  • College of Electronic Engineering, Guangxi Normal University, Guilin 541004, Guangxi Province, China

Received date: 2014-10-30

  Revised date: 2015-05-19

  Online published: 2016-01-30

Abstract

Islanding detection is an important issue in grid-connection of a distributed photovoltaic system. The paper compares complex and real wavelet transforms used in islanding detection. Islanding is judged by extracting and analyzing changes in the amplitude and phase of wavelet transform coefficients of the voltage at common coupling points. Simulation results show that the islanding detection method based on complex wavelet transform is more effective than that based on real wavelet transform. The complex wavelet method also solves the problem of tedious layering of characteristic signal and complicated threshold selection encountered in the real wavelet based method.

Cite this article

FANG Xiao-mei, LUO Xiao-shu, JIANG Pin-qun, SONG Shu-xiang, LIAO Zhi-xian . Comparison of Complex and Real Wavelet Transforms in Islanding Detection[J]. Journal of Applied Sciences, 2016 , 34(1) : 42 -48 . DOI: 10.3969/j.issn.0255-8297.2016.01.005

References

[1] 谢东,张兴,曹仁贤. 基于小波变换与神经网络的孤岛检测技术[J]. 中国电机工程学报,2014, 34(4):537-544. Xie D, Zhang X, Cao R X. Islanding detection based on wavelet transform and neural network[J]. Proceedings of the CSEE, 2014, 34(4):537-544. (in Chinese)

[2] 龚会茹,易灵芝,沈建飞. 光伏并网发电中的新型孤岛检测方法[J]. 电力系统及其自动化学报,2012, 24(1):59-65. Gong H R, Yi L Z, Shen J F. New island detection method of PV srid-connected system[J]. Proceedings of the CSU-EPSA, 2012, 24(1):59-65. (in Chinese)

[3] 青桃,江智军. S变换在孤岛检测中的应用[J]. 南昌大学学报:理科版,2013, 37(1):30-33. Qing T, Jiang Z J. Application of S-transform in islanding detection[J]. Journal of Nanchang University:Natural Science, 2013, 37(1):30-33. (in Chinese)

[4] 贺眉眉,李华强,陈静. 基于离散小波变换的分布式发电孤岛检测方法[J]. 电力自动化设备,2012, 32(10):103-108. He M M, Li H Q, Chen J. Islanding detection based on discrete wavelet transform for distributed generation[J]. Electric Power Automation Equipment, 2012, 32(10):103-108. (in Chinese)

[5] 张凯航,袁越,傅质馨. 基于正切滑模频移法的孤岛检测方法[J]. 电力自动化设备,2013, 33(12):66-72. Zhang K H, Yuan Y, Fu Z X. Islanding detection based on tangent sliding mode frequency shift method[J]. Electric Power Automation Equipment, 2013, 33(12):66-72. (in Chinese)

[6] 蔡逢煌,林琼斌,王武. 带有谐波补偿功能的主动移频式孤岛检测法[J]. 电力自动化设备,2014, 34(9):54-58. Cai F H, Lin Q B, Wang W. Island detection by active frequency drift method with harmonic compensation[J]. Electric Power Automation Equipment, 2014, 34(9):54-58. (in Chinese)

[7] Bakhshi M, Noroozian R, Gharehpetian G B. Anti-islanding scheme for synchronous DG units based on tufts-kumaresan signal estimation method[J]. IEEE Transaction on Power Delivery, 2013, 28(4):2185-2193.

[8] Ning J X, Wang C S. Feature extraction for islanding detection using wavelet transformbased multi-resolution analysis[C]//Power and Energy Society General Meeting, San Diego, CA:IEEE, 2012:1-6.

[9] Samui A, Stamantaray S R. Performance assessment of wavelet transform based islanding detection relay[C]//India Conference, Kochi, India:Annual, IEEE, 2012:545-550.

[10] Zhu Y P, Yang Q X, Wu J J. A novel islanding detection method of distributed generator based on wavelet transform[C]//Electrical Machines and Systems Conference, Wuhan, China, IEEE, 2008:2686-2688.

[11] Shariatinasab R, Akbari M. New islanding detection technique for DG using discrete wavelet transform[C]//Power and Energy Conference, Kuala Lumpur, Malaysia, IEEE, 2010:294-299.

[12] 薛蕙,杨仁刚,郭永芳. 利用复值小波变换检测轻微的电力系统扰动[J]. 电网技术,2004, 28(17):24-27. Xue H, Yang R G, Guo Y F. Detection of minute disturbance by complex wavelet transform[J]. Power System Technology, 2004, 28(17):24-27. (in Chinese)
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