Home > Published Issues > 2025 > Volume 14, No. 4, July 2025 >
IJEETC 2025 Vol.14(4): 213-218
doi: 10.18178/ijeetc.14.4.213-218

Smart Grid Data Compression and Reconstruction by Discrete Wavelet Transform

R. Jadhav1 and A. Mahajan2,*
1. Department of Information Technology, Vivekananda Education Society’s Institute of Technology, Mumbai, India
2. Symbiosis Institute of Technology, Pune Campus,Symbiosis International (Deemed University), Pune, India
Email: rakhi.jadhav@ves.ac.in (R.J.), anurag.mahajan@sitpune.edu.in (A.M.)
*Corresponding author

Manuscript received March 25, 2025; revised May 20, 2025; accepted May 28, 2025

Abstract—A smart grid offers safe, reliable, and useful electricity. Phasor measuring units, smart meters, and other monitoring and measurement devices in the smart grid keep track of statuses at every grid level. As a result, utilities, control centers, and customers must exchange and retain an enormous amount of data in real time. As a result, data storage and communication require efficient data compression. To accurately reflect status of the system and regenerate nearly flawlessly on receiving side, compression should preserve all of the data’s critical information. This work uses the discrete wavelet transform to recover compressed voltage sag signals. With reduced data, the disruptions can be communicated more quickly. Because the proposed system uses lesser filters and few decomposition layers, it is simpler than the previous design. The results of the simulation demonstrate improvement in the reconstruction error and compression ratio by minimizing their values. This design is time-saving and simple to use.

 
Index Terms—compression, decomposition, reconstruction, noise, smart grid, wavelet transform

Cite: R. Jadhav and A. Mahajan, "Smart Grid Data Compression and Reconstruction by Discrete Wavelet Transform," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 14, No. 4, pp. 213-218, 2025. doi: 10.18178/ijeetc.14.4.213-218

Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.

Article Metrics in Dimensions