Robust Data Transmission upon Compressive Sensing for Smart Grid

Abstract

A huge amount of power system data are transmitted in the smart grid. If some data packets are lost during transmission, the received data quality will be affected or worsened. This article proposes a robust data transmission method upon compressive sensing technology for the smart grid. First, the original power system signals are transformed into wavelet domain coefficients by means of wavelet multi-resolution analysis. Then these coefficients are sampled by the compressive sensing algorithm. These compressive sensing sampling data are transmitted in communication channels. In the receiving end, the compressive sensing sampling data are reconstructed to obtain the wavelet domain coefficients, and then wavelet inverse transforms are applied to recover the power system signals. The compressive sensing transmission method can achieve higher rate-distortion performance compared with the direct data transmission method. The new method can be used for power system data communication in non-feedback communication systems.