Fast Recursive Least Square-Based Active and Reactive Power Estimator for Single-Phase Power Electronic Converters

This paper proposes a novel estimator for active and reactive power control of single-phase power electronic applications. The proposed estimator includes: 1) an instantaneous grid power regression model; 2) a fast uppertriangular and diagonal recursive least square (FUDRLS) algorithm for parameter identification of the regression model; and 3) a new self-tuning variable forgetting factor included in the FUDRLS to optimize its performance. The proposed estimator is capable of quick and accurate active/reactive power estimation. Due to its low complexity, numerical stability, the proposed method is suitable for the real-time embedded system to estimate active and reactive powers for control applications of the grid-connected converters. Simulation results are provided to validate the proposed estimation method of single-phase power electronic converters.