Abstract：The massive access of 5G base stations has injected new vitality into the low-carbon development of

integrated energy system（IES）. By stimulating 5G base stations to participate in demand response and

incorporating them into the scheduling framework of IES，energy saving and emission reduction of IES can be

effectively promoted and the overall economic benefits of IES can be improved. Accordingly，a campus IES dayahead scheduling model that considers low-carbon empowerment of 5G base stations was proposed. Firstly，the

basic structure and main energy consumption inside the 5G base station were analyzed，and a flexible interaction

model between the 5G base station and the IES system was constructed；secondly，a price-based demand response

model based on the price elasticity matrix and a substitution-based demand response model based on the electric

energy-thermal energy interconversion were constructed，and the IES day-ahead scheduling model was built with

the lowest scheduling cost as the objective function；meanwhile，the IES risk-averse robust model was further

constructed by using the information gap decision theory to deal with the uncertainty of renewable energy output.

Finally，the effectiveness of the proposed model and the proposed algorithm were verified by various typical

operation scenarios in an IES system.

      Key words：5G base station；integrated demand response（IDR）；integrated energy system（IES）；low carbon dispatch；information gap decision