Multi-Time Scale Optimal Scheduling Model of Wind and Hydrogen Integrated Energy System Based on Carbon Trading

In the context of carbon trading, energy conservation and emissions reduction are development directions integrated systems. order to meet requirements in power grid, considering different responses system time periods, a wind-hydrogen multi-time scale scheduling model was established optimize energy-consumption problem system. As is multiobjective nonlinear problem, artificial fish swarm algorithm–shuffled frog leaping algorithm (AFS-SFLA) used solve achieve optimization. experimental test process, Griewank benchmark function Rosenbrock were selected performance proposed AFS-SFL algorithm. environment, compared SFLA algorithm, able find feasible solution at an early stage, tended converge after 110 iterations. The optimal −4.83. total electric deviation results scales, maximum dispatching 14.58 MW, minimum 0.56 MW. overall real-time minimum, 0 1.89 WM. adopted dispatching, with good stability low-energy consumption. Power optimization belongs objective problem. innovatively combined model, which improved accuracy grid dispatching. research content provides effective reference for efficient use clean renewable energy.