An Adaptive Moment Estimation-Based Sine Cosine Algorithm With Historical Updates for Robust Second Harmonic Current Suppression

Second harmonic current (SHC) suppression has become an essential focus in advancing modern power supply systems. This article presents an adaptive moment estimation-based sine cosine algorithm (AdSCA) with historical updates for augmented SHC suppression in power supply systems. Specifically, a tailored second harmonic current compensator (SHCC) is designed to mitigate SHC, with stability analyzed in a dual closed-loop control framework. Besides, the AdSCA is employed to optimize the control parameters of SHCC by multilevel nested optimization of integrating global exploration capabilities of the sine cosine algorithm (SCA) with the local development of adaptive moment estimation (Adam), further enhanced by historical best updates to improve iteration efficiency. The proposed algorithm ensures robust performance against electrical parameter variations, considerable computation performance and guarantees both satisfactory steady-state and dynamic performance for the power supply system. Finally, experimental results are provided and compared with multiple algorithms, demonstrating the effectiveness and robustness of the proposed AdSCA.