A Methodology for Spikes and Transients Detection and Removal in Power Signals Using Chebyshev Approximation

The smart grid is an important empowering agent for a prosperous society. However, due to the involvement of various renewable energy sources, power electronic devices and loads, the grid is prone to distortions which reduce the power quality. It is very important to improve the quality of the power signal as it can damage the equipment that consumes it. In this paper, a novel and robust method is developed to improve the power quality by using Chebyshev approximation. The proposed methodology detects the spike and transient distortions in power signals and removes them effectively. The efficacy of the proposed method is tested over different noise intensities and also compared with a VMD based signal smoothing system. The promising results evince that the system can be used for power quality improvement in smart grid environment. This method is useful for predicting the exact locations and magnitudes of disturbances in future time so that control/corrective actions can be taken to rectify the distortions.