Abstract
This research focuses on optimizing wind-solar driven hydrogen energy storage systems. It addresses efficiency challenges through mathematical modeling and optimization. The study establishes mathematical representations, including probability distribution models for energy inputs, and defines output efficiency linked to electrolysis and fuel cell processes. Various optimization strategies, such as linear programming, nonlinear programming, and genetic algorithms, are explored. Case analysis and numerical simulations demonstrate the strategy's effectiveness. The study concludes by highlighting its practical implications and the promising future of wind-solar driven hydrogen energy storage systems.
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