A Novel Multichannel Online Denoising Method for The Three Phase Electrical Signals of PV System

Photovoltaic (PV) power generation system plays an important role in contemporary electricity production as a ubiquitous renewable energy source. To ensure the efficient and normal operation of the PV system, it is necessary to online analyze the three phase electrical signals. Unfortunately, the electrical signals of the PV system are often corrupted with noises in nature, which cannot reflect the state of the PV system. To resolve this issue, we propose a new multichannel online denoising method, weighted window sliding multivariate empirical mode decomposition(EMD), for the PV system for the first time. In this method, when the three phase electrical signal is attained, the multichannel EMD is applied to decomposed the signals at first. Then, the signal is reconstructed by using the consecutive mean square error (CMES) algorithm. Finally, the weighted sliding window is applied to obtain smooth filtering. Compared to conventional denoising the three phase electrical signals of the PV system efficiently. The effectiveness of the proposed method is verified through the simulation results.