The Study and Applications of Sparse Methods Technology in Yunnan Mountain Substation

Hongliang Wang^1*, Min Cao², Xianfu Chen², Shilin Li², Shaoquan Zhang², Xin Shen²

¹Postdoctoral Research Workstation of YunNan Power Grid Corporation, Kunming, China.
²Yunnan Electric Power Test & Research Institute Group Co., Ltd., Electric Power Research Institute, Kunming, China.

DOI: 10.4236/jpee.2014.24055                

Abstract

As one of the divisions in China Southern Power Grid, Yunnan Power Grid Corporation has conducted research and demonstration projects on multiple smart grid technologies to improve the power system reliability, save operation cost and enhance measurement accuracy. In this paper, we will introduce The Study of Yunnan Mountain Substation Data Aggregation Technology based on Sparse Methods. Most substations are built in the mountain, the complex geological conditions and poor natural conditions put forward higher requirements on the substation running and real-time comprehensive monitoring of substation system. Processing and polymerization research of large amounts of the monitoring data and information is studied in this article. This paper introduces the sparse methods and then explains the thinning algorithm, especially new algorithm is proposed. Finally, the substation sparse method architecture is put forward and the simulation experiment was carried out to prove the feasibility and effectiveness of the proposed method.

Keywords

Sparse Methods; Mountain Substation; Geological Monitoring; Wireless Sensor Networks

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Madden, S.R., Franklin, M.T., Hellerstein, J.M. and Hong, W. (2002) TAG: A Tiny Aggregation Service for Ad-Hoc Sensor Networks. Proceeding of the Symposium on Operating Systems Design and Implementation, OSDI.
[2]	Wang, H.L., Dong, H.B. and Jiang, G.S. (2012) Design of EM-MWD Signal Detection System Based on Correlation and Adaptive Filter. Chinese Journal of Scientific Instrument, 5, 1013-1018.
[3]	Wang, H.L., Dong, H.B., et al. (2013) The Study of Cased-Hole Transient Electromagnetic Pulse Acquisition Unit. Oil Geophysical Prospecting, 48, 804-808.
[4]	Cheng, Z.Y. and Liu, Y. (2009) An Efficient Data Collection Method by Mobile Sink Node in Wireless Sensor Networks. Journal of Beijing Jiaotong University.
[5]	Wang, H.L., Dong, H.B., et al. (2012) The Study of FID Signal Extraction Technology of Proton Magnetometer Based on SVD. International Journal of Digital Content Technology and its Applications, 10, 576-584.
[6]	Wang, H.L., Dong, H.B., He, L.H., Shi, Y.L. and Zhang, Y. (2010) Design and Simulation of LQR Controller with the Linear Inverted Pendulum. International Conference on Electrical and Control Engineering, 6, 699-702.
[7]	Wang, H.L. and Dong, H.B. (2012) Study of the Distributed Ground-Tunnel Pressure Measurement and Control Method. Applied Mechanics and Materials, 48-51.
[8]	Nath, S., Gibbons, P.B., Seshan, S. and Anderson, Z.R. (2004) Synopsis Diffusion for Robust Aggregation in Sensor Networks. SenSys’04: Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems, 250- 262. http://dx.doi.org/10.1145/1031495.1031525