Abstract
For maintaining power system stability, several parameters like voltage, frequency, etc. are monitored sequentially at regular intervals by SCADA, and the informations are transmitted to data centre through suitable communication schemes. If the volume of data can be reduced, then it is possible to reduce the energy and space requirement. This paper emphasizes on the development of an algorithm to compress the monitoring parameters using Adaptive Huffman Coding in MATLAB environment. The compression ratio obtained by this approach is better than what is obtained by other data compression techniques. This results in the reduction of memory requirement by about 60%, thereby enabling it suitable for the data handling of a large volume of monitoring data encountered frequently in a power system.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Sarkar, S. J., Das, B., Dutta, T., Dey, P., Mukherjee, A.: An Alternative Voltage and Frequency Monitoring Scheme for SCADA based Communication in Power System using Data Compression. In: International Conference and Workshop on Computing and Communication (IEMCON), pp 1–7, Vancauver (2015).
Sarkar, Subhra J., Sarkar, Nabendu Kr., Dutta, Trishayan, Dey, Panchalika, Mukherjee, Aindrila: Arithmetic Coding Based Approach for Power System Parameter Data Compression. Indonesian Journal of Electrical Engineering and Computer Science, Vol. 2, No. 2, May (2016).
Gupta, J. B.: Power System Analysis, 1st Edition, S. K. Kataria & Sons (2011).
Grigsby, Leonard L.: Power System Stability & Control, 3rd Edition, CRC Press (2012).
Fitzgerald, A.E., Kingsley, Charles, Umans, Stephen. D., Electric Machinery, 6th Edition, http://prof.usb.ve/jaller/Fitzgerald.pdf.
Wadhwa, C.L., Electrical Power Systems, 6th ed., New Age International Publishers, New Delhi (2014).
Takahashi, Yasuhiro, Matsui, Susumu, Nakata, Yukio, Kondo, Takeshi: Communication Method with Data Compression & Encryption for Mobile Computing Environment. https://www.isoc.org/inet96/proceedings/a6/a6_2.html.
ARGHIRA, Nicoleta, HOSSU, Daniela, FĂGĂRĂŞAN, Ioana, ILIESCU, Sergiu Stelian, COSTIANU, Daniel Răzvan: Modern SCADA Philosophy in Power System Operation – A Survey. U.P.B. Sci. Bull., Series C, Vol. 73, Iss. 2 (2011).
Patil, C. S., Sonawane, H. M., Patil, K. G.: Overview of SCADA applications in Thermal Power Plant. Proc. of ICMSET-2014 (2014).
Singh, Tarlok: Installation Commissioning & Maintenance of Electrical Equipments, 2nd Edition, S. K. Kataria & Sons.
Sutterlin, Phil, Downey, Walter, Echelon Corporation: A Power Line Communication Tutorial- Challenges & Technologies. http://www.viste.com/LON/tools/PowerLine/pwrlinetutoral.pdf.
Chapter 4: PLC Communication, PLC Hardware User Manual, 4th Ed., Rev. A. https://www.automationdirect.com/static/manuals/c0userm/ch4.pdf.
Wikipedia: Radio. https://en.wikipedia.org/wiki/Radio.
How broadband satellite Internet works, VSAT Systems. http://www.vsat-systems.com/satellite-internet/how-it-works.html.
Wikipedia: Serial Communication. https://en.wikipedia.org/wiki/Serial_communication.
Banerjee, Tribeni Prasad, Konar, Amit, Abraham, Ajith: CAM based High-speed Compressed Data Communication System Development using FPGA. http://www.academia.edu/2374082/CAM_based_High-speed_Compressed_Data_Communication_System_Development_using_FPGA.
Difference between Lossless & Lossy Data Compression. http://www.rfwireless-world.com/Terminology/lossless-data-compression-vs-lossy-data-compression.html.
Theory of Data Compression. http://www.data-compression.com/theory.shtml.
Li, Ze-Nian, Drew, Mark S., Liu, Jiangchuan: Fundamentals of Multimedia, 2nd Edition, Springer (2014).
Kodituwakku, S.R., Amarasinghe, U. S., Comparisons of Lossless Data Compression Algorithms for Text Data, Indian Journal of Computer Science and Engineering, Vol. 1, No. 4, pp. 406–425.
Sarkar, Subhra J., Kundu, Palash K., Mondal, Ipsita: Modified DCSK Communication Scheme for PLCC based DAS with Improved Performance. In: International Conference on Control, Instrumentation, Energy & Communication (CIEC) (2016).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Sarkar, S.J., Sarkar, N.K., Mondal, I. (2017). Adaptive Huffman Coding-Based Approach to Reduce the Size of Power System Monitoring Parameters. In: Satapathy, S., Bhateja, V., Udgata, S., Pattnaik, P. (eds) Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications . Advances in Intelligent Systems and Computing, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-10-3153-3_26
Download citation
DOI: https://doi.org/10.1007/978-981-10-3153-3_26
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-3152-6
Online ISBN: 978-981-10-3153-3
eBook Packages: EngineeringEngineering (R0)