An efficient hybrid approach for high-gain DC–DC converter for hydropower operated plants on DC load with super-lift converters

Power converters play a crucial part in optimizing energy conversion in hydropower plants, but traditional designs often face challenges such as limited efficiency, high component stress, and complex control. This manuscript presents a hybrid approach for high-gain DC–DC converters in hydropower applications. The proposed hybrid technique is the joined execution of Archimedes optimization algorithm (AOA) and dynamic differential annealed optimization (DDAO). Hence, it is named as AOA-DDAO approach. The study explores super-lift converters, including the positive Luo converter and modified negative Luo converter (MLC), enhancing their efficiency and adaptability. The AOA is used to optimize the design parameters of the high-gain DC–DC converters, and DDAO is used to control the dynamic performance of the converters. The objective of the AOA-DDAO method is to improve system performance by reducing overshoot, settling time, rise time, and steady-state error, while enhancing convergence speed, robustness, and overall efficiency. The proposed method, implemented in MATLAB, achieves a notable efficiency of 98% and a power loss of 3%, demonstrating superior performance compared to existing techniques. This advancement promises improved voltage conversion ratios and better compatibility with various hydro turbine input voltages, marking a significant contribution to sustainable energy solutions.