Yi Zhong This email address is being protected from spambots. You need JavaScript enabled to view it.^1,2, Cheng Chen^1,2 and Hang Su^1,2

¹School of Information Engineering, Wuhan University of Technology, Wuhan 430070, P.R. China
²Key Lab. of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Wuhan University of Technology, Wuhan 430070, P.R. China

REFERENCES

1. [1] Li, F. J., Luo, B. and Liu, P., “Secure Information Aggregation for Smart Grids Using Homomorphic Encryption,” Smart Grid Communications (SmartGridComm), 2010 First IEEE International Conference, pp. 327
   332 (2010). doi: 10.1109/SMARTGRID. 2010.5622064
2. [2] Chen, S. Y., Song, S. F., Li, L. X. and Shen, J., “Survey on Smart Grid Technology,” Power System Technology, Vol. 33, No. 10, pp. 1
   7 (2009).
3. [3] Farhangi, H., “The Path of the Smart Grid,” IEEE Power Energy Mag., Vol. 8, No. 1, pp. 18
   28 (2010). doi: 10.1109/MPE.2009.934876
4. [4] Bollen, M. H. J., “Understanding Power Quality Problems,” New York: IEEE Press Series on Power Engineering, Vol. 1, No. 5, pp. 25
   26 (2000). doi: 10.1109/9780470546840.ch1
5. [5] Colet-Subirachs, A., Ruiz-Alvarez, A., Gomis-Bellmunt, O., Alvarez-Cuevas-Figuerola, F. and Sudria-Andreu, A., “Centralized and Distributed Active and Reactive Power Control of a Utility Connected Microgrid Using IEC61850,” IEEE Systems Journal, Vol. 6, No. 1, pp. 58
   67 (2012). doi: 10.1109/JSYST.2011.2162924
6. [6] Florkowski, M., “Exploitation Stresses and Challenges in Diagnostics of Electrical Industrial Equipment,” Industrial Electronics (ISIE), IEEE International Symposium, Vol. 10, No. 6, pp. 15
   25 (2011). doi: 10. 1109/ISIE.2011.5984129
7. [7] Ribeiro, M. V., Romano, J. M. T. and Duque, C. A., “An Improved Method for Signal Processing and Compression in Power Quality Evaluation,” Power Delivery, IEEE Transactions On, Vol. 19, No. 2, pp. 464
   471 (2004). doi: 10.1109/TPWRD.2003.822497
8. [8] Panda, G., Dash, P. K., Pradhan, A. K. and Meher, S. K., “Data Compression of Power Quality Events Using the Slantlet Transform,” IEEE Trans. Power Delivery, Vol. 17, No. 3, pp. 662
   667 (2002). doi: 10. 1109/61.997957
9. [9] Anis Ibrahim, W. R. and Morcos, M. M., “Artificial Intelligence and Advanced Mathematical Tools for Power Quality Applications: A Survey,” Power Delivery, IEEE Transactions On, Vol. 17, No. 2, pp. 668
   673 (2002). doi: 10.1109/61.997958
10. [10] Dash, P. K., Panigrahi, B. K., Sahoo, D. K. and Panda, G., “Power Quality Disturbance Data Compression, Detection, and Classification Using Integrated Spline Wavelet and S-Transform,” Power Delivery, IEEE Transactions On, Vol. 18, No. 2, pp. 595
    600 (2003). doi: 10.1109/TPWRD.2002.803824
11. [11] Li, P., Fei, L. Q., Qian, J., Chen, J. and Li, X. C., “Based on the Improved HHT and Its Application in the Power Quality Detection of Microgrid,” Electrical Machines and Systems, Vol. 19, No. 5, pp. 1
    23 (2011). doi: 10.1109/ICEMS.2011.6073708
12. [12] Chen, P., Xu, B. Y., Ge, Y. Z. and Liu, H. L., “Discrete Wavelet Transfrom and Its Application to Compression of Signal of Fault Induced Transient Travelling Waves on Transmission Lines,” Automation of Electic Power Systems, Vol. 4, No. 3, pp. 31
    35 (2009).
13. [13] Ju, G. F. and Luo, A., “DWT Application to Real-Time Compression of Power Quality Disturbance Data,” Automation of Electic Power Systems, Vol. 19, No. 8, pp. 61
    63 (2002).
14. [14] Guo, B. B. and Huang, C., “Power Quality Disturbance Data Compression Based on Wavelet Packet Transform,” Electic Power Automation Equipment, Vol. 25, No. 11, pp. 34
    37 (2005).
15. [15] Gao, P. S., Chen, X. J., Wu, W. L. and Song, B. M., “Compression of 2-D Representation of Power Quality Event Data,” Journal of Zhejiang University, Vol. 42, No. 4, pp. 686
    690 (2008).
16. [16] Candes, M. J., Romberg, J. K. and Tao, T., “Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information,” IEEE Transactions on Information Theory, Vol. 52, No. 9, pp. 489
    509 (2006). doi: 10.1109/TIT.2005.862083
17. [17] Donoho, D. L., “Compressed Sensing,” IEEE Transactions on Information Theory, Vol. 52, No. 18, pp. 1289
    1306 (2006). doi: 10.1109/TIT.2006.871582
18. [18] Baraniuk, R., et al. “A Simple Proof of the Restricted Isometry Property for Random Matrices,” Constructive Approximation, Vol. 28, No. 3, pp. 123
    152 (2008). doi: 10.1007/s00365-007-9003-x
19. [19] Candes, E. J. “The Restricted Isometry Property and Its Implications for Compressed Sensing,” Applied & Computational Mathematics, Vol. 346, pp. 9
    10 (2008). doi: 10.1016/j.crma.2008.03.014
20. [20] Chen, S., Donoho, D. L. and Sauders, M. A., “Atomic Decomposition by Basis Pursuit,” SIAM Review, Vol. 43, No. 1, pp. 129
    159 (2001). doi: 10.1137/S0036 14450037906X
21. [21] Lustig, M., Donoho, D. and Pauly, J. M., “Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging,” Magnetic Resonance in Medicine, Vol. 58, No. 6, pp. 1182
    1195 (2007). doi: 10.1002/mrm. 21391
22. [22] Dai, Q. and Sha, W., The Physics of Compressive Sensing and the Gradient-Based Recovery Algorithms, The University of Hong Kong, http://arxiv.org/abs/0906. 1487 Research report (2009).
23. [23] Dugan, R. C., Megranghan, M. F. and Benty, H. W., Electrical Power Systems Quality, New York: MCGraw-Hill (1996)
24. [24] Becker, S., Bobin, J. and Candès, E. J., “NESTA: A Fast and Accurate First-Order Method for Sparse Recovery,” SIAM Journal on Imaging Sciences, Vol. 4, No. 1, pp. 1
    39 (2011). doi: 10.1137/090756855
25. [25] Schmidt, M., Fung, G. and Rosales, R., “Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches,” Machine Learning Springer Berlin Heidelberg, pp. 286
    297 (2007). doi: 10.1007/978-3-540-74958-5_28
26. [26] Tropp, J. A. and Gilbert, A. C., “Signal Recovery from Partial Information via Orthogonal Matching Pursuit,” IEEE Transactions on Information Theory, Vol. 53, No. 5, pp. 4655
    4666 (2007). doi: 10.1109/TIT.2007. 909108
27. [27] Wang, X., Wang, L., Miao, G., et al., “An Approach for Compressive Sampling and Reconstruction of Transient and Short-Time Power Quality Disturbance Signals,” Power System Technology, pp. 42
    51 (2012).