Modified fractional least mean square-based control scheme for dynamic voltage restorer to improve power quality

The paper introduces a modified fractional least mean square (M-FLMS) filter-based control scheme designed for optimal control of dynamic voltage restorers. This scheme accurately estimates fundamental components from the supply voltage and performs exceptionally well, even under grid voltage anomalies. In this study, the original fractional least mean square (FLMS) control structure undergoes modifications incorporating an adjustable gain parameter, significantly enhancing its performance during voltage distortions. The resultant M-FLMS control scheme achieves swift convergence, reduced steady-state errors, and improved computational efficiency. Comparative analysis between the least mean square and FLMS control algorithms validates the superiority of the proposed M-FLMS approach, demonstrating faster settling times and decreased peak overshoot. Additionally, the grasshopper optimization algorithm is employed to efficiently tune load voltage and DC-link voltage proportional-integral controller gains, further augmenting the control scheme’s effectiveness. The paper evaluates the suggested control scheme’s effectiveness in both steady-state and dynamic behaviors through MATLAB-based simulations, offering a comprehensive assessment of its capabilities.