Fuzzy Transform for Smart Grid Data Compression
Jesmin Farzana Khan · 2022 IEEE Industry Applications Society Annual Meeting (IAS) · 2022
In smart grid communication data Compression is a critical issue to store or transmit huge amount of power system data. A fuzzy transform (FT) based data compression algorithm is presented in this work for smart grid signals. A fuzzy transform based kernel is exploited to map the data into a new domain of reduced dimension to allow efficient compression of data. The performance is evaluated with different types of power system signals from the measurement devices of Smart Grid. The presented technique reduces the size of the data after compression with minimum distortion. Comparative results are presented with a two dimensional (2D) FT based method which is exploited to compress electric signal of smart grid.