Dynamic Phasor and Frequency Estimation Based on Variable Step Size Weibull M-Transform

Abstract

The key to the stable and dependable operation of a power system and its control equipment is the accurate and rapid estimation of the system’s phasors and frequency. Numerous research has been conducted on phasor estimation techniques under steady state and dynamic conditions. Although the performance of an estimator based on a static phasor has improved under dynamic conditions, significant errors are still present during large deviations. So, a new approach is presented in this paper to improve phasor estimation during dynamic conditions using Variable Step Size Weibull M transform. The corresponding methods aims on low intricacy adaptive filter using dynamic signal modelling method, whose parameters are calibrated using a new variable step size algorithm by establishing a new nonlinear relationship between the step size and error, the algorithm eliminates the trivial noise and improve the convergence rate to achieve good stability, low complexity, improved precision, faster response, and better noise cancellation.