Design of A Hybrid Compression Algorithm for High-fidelity Synchro-waveform Measurements

Real-time monitoring and analysis of distributed grids require synchro-waveform measurements, which capture almost all high-frequency disturbances and transient phenomena. However, due to limitations in high-speed measurements and network bandwidth, it is challenging to transfer all high-fidelity synchro-waveforms losslessly and successfully. To cope with this issue, a hybrid compression algorithm is proposed to significantly improve the compression efficiency for synchro-waveform measurements. Additionally, an error-index that combines the time and frequency domain error and correlation is developed to evaluate the waveform distortion. By integrating compression ratio, suitable parameters can be optimally selected. Finally, the simulation and laboratory experiments are conducted to verify the effectiveness of the proposed algorithm. The results demonstrate that a compression ratio of approximately 13 can be reached, corresponding to a 92.3% reduction in data space.