Literature Review of the Communication Technology and Signal Processing Methodology Based on the Smart Grid

Article Preview

Abstract:

The Smart Grid, acting as a powerful technique for addressing the existing challenges in the power network, has matured in recent years. Its importance has been well recognised. As the most important property of the Smart Grid, the information interactivity over the power network is a frequent topic for academia and industry. Therefore this paper introduces the main achievements of recent years associated with the communication technology and signal processing methodology based on the Smart Grid. Their pros and cons will also be summarised and analysed in detail. To be brief, the novel properties and developments of the Smart Grid, the communication techniques, and the involvement of cRIO integrating FPGA, TDMS, SQL Server, DataSocket Server and LabVIEW Electrical Power Suite will be elaborated upon.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

436-442

Citation:

Online since:

January 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Z. Wen-liang, L. Zhuang-zhi, W. Ming-jun and Y. Xu-sheng, Research Status and Development Trend of Smart Grid, Power System Technology, (2009).

Google Scholar

[2] N. Wade, P. Taylor, P. Lang and P. Jones, Evaluating the benefits of an electrical energy storage system in a future smart grid, Energy Policy, pp.7180-7188, (2010).

DOI: 10.1016/j.enpol.2010.07.045

Google Scholar

[3] S. Mei and L. Chen, Research focuses and advance technologies of smart grid in recent years, Chinese Science Bulletin, vol. 57, no. 22, pp.2879-2886, (2010).

DOI: 10.1007/s11434-012-5261-5

Google Scholar

[4] T. Ma, K. Li, S. Zhu, X. Zheng, C. Guo and L. Li, Discussion about information and communication technology of smart grid, Electric Power Automation Equipment, vol. 30, no. 5, pp.87-91, (2010).

Google Scholar

[5] J. E. N. Jenkins, K. Liyanage, J. Wu and A. Yokoyama, Smart Grid Technology and Applications, Hoboken: Wiley , (2012).

Google Scholar

[6] G. Evolution, Smart Grid, [Online]. Available: http: /greenevolution. ru/enc/wiki/smart-grid.

Google Scholar

[7] E. Hossain, Smart Grid Communications and Networking, New York: Cambridge University Press, (2012).

Google Scholar

[8] V. Giordano and G. Fulli, A business case for Smart Grid technologies: A systemic perspective, Energy Policy, vol. 40, pp.252-259, (2012).

DOI: 10.1016/j.enpol.2011.09.066

Google Scholar

[9] T. H. Nguyen, A. Prinz, T. Friisø, R. Nossum and I. Tyapin, A Framework for Data Integration of Offshore Wind Farms, Renewable Energy, pp.150-161, (2013).

DOI: 10.1016/j.renene.2013.05.002

Google Scholar

[10] A. Garcia, J. Oliver and D. Gosch, An Intelligent Agent-Based Distributed Architecture for Smart-Grid Integrated Network Management, 1st IEEE Workshop on Smart Grid Networking Infrastructure, pp.1013-1018, (2010).

DOI: 10.1109/lcn.2010.5735673

Google Scholar

[11] S. Rusitschka, K. Eger and C. Gerdes, A Model for Utilizing Cloud Computing in the Smart Grid Domain, Smart Grid Communications, pp.483-488, (2010).

DOI: 10.1109/smartgrid.2010.5622089

Google Scholar

[12] R. Qiu, Z. Chen, N. Guo, Y. Song and P. Z. e. al, Towards a real-time cognitive radio network testbed: architecture, hardware platform, and application to smart grid, Researchgate, (2010).

DOI: 10.1109/sdr.2010.5507920

Google Scholar

[13] A. Moreno-Munoz, V. Pallares-Lopez, J. de la Rosa, R. Real-Calvo, M. Gonzalez-Redondo and I. Moreno-Garcia, Embedding Synchronized Measurement Technology for Smart Grid Development, Ieee Transactions On Industrial Informatics, vol. 9(1), pp.52-61, (2013).

DOI: 10.1109/tii.2012.2209659

Google Scholar

[14] M. Rosol, A. Pilat and A. Turnau, Real-time controller design based on NI Compact-RIO, Proceedings of the International Multiconference on Computer Science and Information Technology, p.825–830, (2008).

DOI: 10.1109/imcsit.2010.5679917

Google Scholar

[15] P. Bilik, L. Koval and J. Hajduk, CompactRIO embedded system in power quality analysis, 2008 International Multiconference on Computer Science and Information Technology, pp.577-580, (2008).

DOI: 10.1109/imcsit.2008.4747301

Google Scholar

[16] Instrument, National, NI CompactRIO 2013, [Online]. Available: http: /www. ni. com/compactrio/whatis.

Google Scholar

[17] National Instrument, NI 9225, [Online]. Available: http: /sine. ni. com/nips/cds/view/p/lang/en/nid/208795.

Google Scholar

[18] National Instrument, NI 9239, [Online]. Available: http: /sine. ni. com/nips/cds/view/p/lang/en/nid/208797.

Google Scholar

[19] J. Luszcz and R. Smolenski, Voltage harmonic distortion measurement issue in smart-grid distribution system, 2012 Asia-Pacific Symposium on Electromagnetic Compatibility, pp.841-844, (2012).

DOI: 10.1109/apemc.2012.6238024

Google Scholar

[20] R. Ekström, V. Kurupath, O. Svensson and M. Leijon, Measurement system design and implementation for grid-connected marine substation, Renewable Energy, vol. 55, p.338–346, (2013).

DOI: 10.1016/j.renene.2012.12.028

Google Scholar

[21] Z. Aung, Database Systems for the Smart Grid, Green Energy and Technology, vol. 132, pp.151-168, (2013).

Google Scholar

[22] P. Bilik and L. Koval, Modular system for distributed power quality monitoring, 2007 9th International Conference on Electrical Power Quality and Utilisation, pp.1-5, (2007).

DOI: 10.1109/epqu.2007.4424178

Google Scholar

[23] National Instrument, NI LabVIEW Electrical Power Suite Overview, (2013).

Google Scholar