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Adaptive Huffman Coding-Based Approach to Reduce the Size of Power System Monitoring Parameters

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Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 515))

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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.

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Author information

Authors and Affiliations

  1. Department of EE, Batanagar Institute of Engineering, Management and Science, Kolkata, India

    Subhra J. Sarkar

  2. Department of EE, Haldia Institute of Technology, Haldia, India

    Nabendu Kumar Sarkar

  3. Department of CSE, Batanagar Institute of Engineering, Management and Science, Kolkata, India

    Ipsita Mondal

Authors
  1. Subhra J. Sarkar
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  2. Nabendu Kumar Sarkar
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  3. Ipsita Mondal
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Corresponding author

Correspondence to Subhra J. Sarkar .

Editor information

Editors and Affiliations

  1. ANITS, Prof., Comp. Sci. & Engg. Dept. ANITS, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Dept. of ECE, Shri Ramswaroop Mem. Group of Prof. Clg Dept. of ECE, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. SCIS, University of Hyderabad , Hyderabad, India

    Siba K. Udgata

  4. KIIT University, School of Computer Engineering KIIT University, Bhubaneswar, Odisha, India

    Prasant Kumar Pattnaik

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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

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  • DOI: https://doi.org/10.1007/978-981-10-3153-3_26

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3152-6

  • Online ISBN: 978-981-10-3153-3

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