Abstract
The integration of renewable energy sources in DC microgrids presents significant challenges in maintaining stable voltage regulation and efficient power management. Existing control approaches struggle to handle the inherent variability of renewable sources while maintaining optimal system performance. This paper presents an Adaptive Sinh Cosh Optimizer (ASCHO) integrated with cascade Fractional Order Proportional-Integral (FOPI) control to address these challenges. ASCHO enhances the original SCHO algorithm through dynamic parameter updating and improved exploration-exploitation mechanisms. The proposed control system demonstrates significant performance improvements, with ASCHO achieving a fitness value of superior to conventional approaches' values. In practical implementation, the system maintains voltage regulation within ±5V of the reference value and achieves a 70\% reduction in steady-state error (3.15V vs 10.39V) compared to SCHO. The method was extensively validated through 23 benchmark functions comprising unimodal, multimodal, and fixed-dimension multimodal functions, with ASCHO outperforming other algorithms in 17 functions. Comprehensive testing validates the system's robustness under varying solar irradiance, wind speed, and load demands. The results demonstrate faster rise times (0.00208s vs 0.00209s) and improved power management capabilities, while maintaining battery state of charge variations within 0.003%. The successful implementation establishes ASCHO as an effective solution to optimize DC microgrid control systems with high penetration of renewable energy.
Published Version
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