Using cross correlation and zero crossing point detection methods for evaluation of phase angle and subsequently other power parameters for distorted three phase electrical system

Precise estimation of power metrics like active power, reactive power and apparent power is mandatory for effective control and monitoring of three phase power systems. On the other hand there might be challenges like waveform distortion, noisy signals and unbalanced load circumstances. traditional methods may not always provide accuracy in such an environment thus to address that in this study, we are using cross correlation and zero crossing methods to estimate power parameters of a three phase system. We are using these signal processing techniques to find phase angle, which in turn determines all other power parameters like active power, reactive power, apparent power, power factor. While Cross correlation tracks both the signals at different time lags and evaluate similarity between both the signals, zero crossing point approach identifies some particular locations where signal crosses zero axis. This analysis can be used in various applications such as power parameters monitoring in electric vehicle (EV) charging for both grid to vehicle (G2V) and vehicle to grid (V2G) modes, AC energy meters to analyze and optimize energy usage along with theft detection, energy demand side management. The analysis and comparison is done using both method in terms of effectiveness, precision and real time applications in presence of noise, distortion and unbalanced load conditions. The strengths and weaknesses of each method are concluded using simulated and expected results.