Lossless Compression of Synchro-Waveform Measurements for Smart Grid Monitoring

Abstract

Widespread implementations of high-frequency elec-tronic equipment increase the demand for high-frequency synchronized measurement data. However, high-speed data streaming challenges the quality of communication and data server storage. To address this problem, this paper proposes an online lossless compression of synchro-waveform measurement for smart grid monitoring. The lossless compression will highly reduce the data transmission and storage burden while reserving all the critical information for both online and offline analysis. To this end, the proposed method is designed based on the delta-delta, Simple-8b, and Lempel-Ziv-Markov chain algorithm technologies, where the delta-delta consists of a two-order delta and one periodical delta. Then, the simulation experiments based on various noise levels, time windows, and sampling rates are presented and compared with some state-of-art methods. Moreover, the laboratory experiment is conducted to verify the validity of the synchro-waveform measurement compression method, where 53.1% to 77.3% of data space can be saved under 60dB to 120dB noise scenarios.