Instructions Data Compression for Smart Grid Monitoring using Wavelet Domain Singular Value Decomposition
Qin Li, Ming Zhang, Shunfan He, Shaowu Li · 2018
This paper proposes a data compression for power grid using wavelet domain singular value decomposition (WDSVD). The method splits the power signal into cycles and combines them as a 2D matrix. Then 2D discrete wavelet transform (2DDWT) is used to decompose the original matrix into submatrices. Singular value decomposition(SVD) compresses the data in each submatrix domain according to adaptive threshold setting based on Bayesian rules. Then the data is quantized by uniform threshold quantizer. By various tests and comparisons, the new method is validated for low reconstruction error and high compression ratio (CR) of both single and multiple signal monitoring as smart grid requires.