Distributionally robust optimal scheduling of integrated energy systems including hydrogen fuel cells considering uncertainties

Abstract

The economic operation of the integrated energy system faces the problems of coupling between energy production and conversion equipment in the system and the imbalance of various energy demands. Therefore, taking system safety as the constraint and minimum economic cost as the objective function, including fuel cost, operation, and maintenance cost, this paper proposes the operation dispatching model of the integrated energy system based on hydrogen fuel cell (HFC), including HFC, photovoltaic, wind turbine, electric boiler, electric chiller, absorption chiller, electric energy storage, and thermal energy storage equipment. On this basis, a distributionally robust optimization (DRO) model is introduced to deal with the uncertainty of wind power and photovoltaic output. In the distributionally robust optimization model, Kullback–Leibler (KL) divergence is used to construct an ambiguity set, which is mainly used to describe the prediction errors of renewable energy output. Finally, the DRO economic dispatching model of the HFC integrated energy system (HFC-IES) is established. Besides, based on the same load scenario, the economic benefits of hybrid energy storage equipment are discussed. The dispatching results show that, compared with the scenario of only electric energy storage and only thermal energy storage, the economic cost of the scenario of hybrid electric and thermal storage can be reduced by 3.92% and 7.55% respectively, and the use of energy supply equipment can be reduced, and the stability of the energy storage equipment can be improved.