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Erschienen in:
2017 | OriginalPaper | Buchkapitel
Adaptive Huffman Coding-Based Approach to Reduce the Size of Power System Monitoring Parameters
verfasst von : Subhra J. Sarkar, Nabendu Kumar Sarkar, Ipsita Mondal
Erschienen in: Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications
Verlag: Springer Singapore
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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.