
科学技术与工程

中国技术经济学会
Multi-microgrid Optic-charge-storage Multi-objective Optimal Scheduling Considering Demand Response and Hydrogen-storage
Yu-ling HE , Zheng-mao DUAN , Kai SUN , Xue-wei WU , Ning GAO , Xiao-guang ZHU , Jia-jia HUAN
Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (36) : 15548 -15561.
In order to realize the optic-charge-storage power optimization scheduling, a multi-microgrid multi-objective optimization scheduling model with compensated hydrogen energy storage system was constructed. Firstly, considering the constraints of power balance, battery and hydrogen energy storage system output, and then taking the comprehensive optimal of economy, environmental protection and stability of multi-microgrid as the objective function, the multi-microgrid multi-objective optimal scheduling model including photovoltaic, hydrogen-storage energy storage and load was constructed. Then, based on the black widow optimization(BWO) algorithm, the multi-objective optimal scheduling model was solved in three typical light-load-storage scenarios, and the influence of target weights on the scheduling results of multi-micro-grid was analyzed. The effectiveness and superiority of the proposed model were verified by numerical examples. The results show that reasonable demand response and hydrogen-storage complementation can smooth power fluctuation and reduce the operating cost of multi-microgrid. At the same time, the multi-objective optimal scheduling scheme based on the proposed model is more in line with the actual scenario requirements than the single objective optimization scheme.
multi-microgrid / multi-objective optimization / hydrogen storage energy storage / demand response / black widow optimization(BWO) algorithm
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