Integrated Quantum Hamiltonian Descent with Interior Point Method for Optimal Schedule of Hybrid Electricity-to-Hydrogen System

This paper presents a hybrid hydrogen production model that integrates PV and wind energy while considering the dynamic efficiency of the electrolyzer. To solve the resulting complex nonlinear optimization problem, we integrate the Quantum Hamiltonian Descent Optimization (QHDOPT) algorithm with the Interior Point Optimizer (IPOPT) to generate a high-quality solution. This hybrid quantum-classical approach improves solution accuracy and convergence, demonstrating the benefits of advanced optimization techniques in optimizing efficient hydrogen production with renewable energy sources.