Optimal scheduling of hydrogen energy storage integrated energy system based on Mixed Integer Second-order Cone

The basic structure of the hydrogen storage integrated energy system (HSIES) was built, and mathematical models of thermal power units, reversible solid oxide fuel cells, large-scale wind power and hydrogen energy storage devices were established. The model considers wind energy uncertainty, stochastic security-constrained unit commitment (SSCUC), and price demand response (DR), and optimizes the scheduling of active distribution networks that include a hydrogen storage integrated energy system. In the solution process, the second-order cone relaxation (SOCR) technique is introduced to convexly relax the model's power flow constraints, and the original model is transformed into a mixed integer programming problem. The article analyzes the calculation examples on the 6-node improved system and the 24-node system. The results prove that the hydrogen energy storage integrated energy system can reduce the operation cost and the amount of wind curtailment to a certain extent, and verify the effectiveness of the model.