This algorithm improves maximum power point tracking efficiency in dynamic and steady-state conditions, suggesting enhanced performance under varying conditions.
Key Points
The algorithm achieves over 99.7% maximum power point tracking efficiency under variable conditions.
Sovereign Butterfly Optimization leads to up to 24 times faster convergence compared to existing algorithms.
Simulation results in MATLAB demonstrate improved dynamic and steady-state performances in shaded photovoltaic systems.
Hardware-in-the-loop testing using OPAL-RT confirms the robustness and precision of the SBO-based approach.