Optimal Dispatching of Microgrid Considering Demand Response and Low-Carbon Hydrogen Production

Reducing the amount of wind and light curtailment is of great significance for China to accelerate the realization of the goal of “double carbon”. In order to improve the economy of the microgrid, this paper analyzes the power demand of different types of loads, considers the different response capabilities of different loads under different circumstances, and proposes a method of optimal dispatching of the microgrid considering demand response and low-carbon hydrogen production. The NSGA-II genetic algorithm was used to solve the problem, and the calculation results showed that considering both the demand side response of users and low-carbon hydrogen production, the economy of microgrid operation was improved. The peak shaving and valley filling ability during peak electricity consumption periods can improve the safety and reliability of grid operation, and weaken the power supply pressure during high electricity consumption periods.