Research on Real-Time Monitoring Data Storage for Smart Grid Based on the Cloud Platform

Article Preview

Abstract:

With the development of smart grid, mass data collected in real time for equipment monitoring requires higher performance of data store. Hence, a storage system based on cloud platform for smart grid equipment monitoring is designed and achieved. Aiming at electric power monitoring data, this paper designs an improved PI revolving door compression algorithm, which improves the performance of data transmission and storage. Related experiments show the effectiveness of the algorithm. The storage system meets the requirements of real-time, mass, high reliability and high performance of data store in smart grid.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1837-1840

Citation:

Online since:

February 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] WANG Dewen, SONG Yaqi, ZHU Yongli. Automation of Electric Power Systems[J]. Automation of Electric Power Systems, 2010, 22: 7-12.

Google Scholar

[2] LI Qi-lin, ZHOU Ming-tian2. Research on Cloud Computing in Smart Grid[J]. Computer Science, 2011, S1: 432-433+456.

Google Scholar

[3] YU Yi-xin1, LUAN Wen-peng2. Basic Philosophy of Smart Grid[J]. Journal of Tianjin University, 2011, 05: 377-384.

Google Scholar

[4] ZHOU Li-Zhen, CHEN Qing-Kui. HBase-Based Storage System for Wireless Sensor Information of Agriculture[J]. Computer Systems & Applications, 2012, (08): 6-9+26.

Google Scholar

[5] BI Hong-yu. Building High Performance Full-text Search System Based on NoSQL[J]. Computer and Modernization, 2012, (08): 6-9+26.

Google Scholar

[6] WANG Jun. Research and Improvement of Loss Linear Compression Algorithms in the Real- time Database[J]. Microcomputer Applications, 2011, 07: 13-18.

Google Scholar

[7] Lu Bingliang1 Zhu Jian2 Zhen Lei1 Meng Gang. AN IM PROVED DATA COM PRESSION ALGOR ITHM BASED ON REAL-T IM E DATABASE[J] Computer Applications and Software,. 2009, 11: 109-111+170.

Google Scholar