The operational stability and economy of multi-energy systems (MES) are threatened by various uncertainties

such as variable renewable energy power

energy demands

and weather conditions. Most of the existing methods for the dispatch decisions of MES are based on the prescribed probability distribution or uncertainty sets of random variables

which have many disadvantages

such as potential infeasibility and over-conservatism. In this paper

we propose a novel dispatch model for MES that integrates dispatch decision making

uncertainty set selection

and operational cost control into a unified framework. First

the deterministic dispatch model of MES is introduced

in which the physical characteristics of district heating systems and buildings are fully considered. Then

a novel decision framework that combines the two-stage dispatch strategy and info-gap decision theory (IGDT) is proposed for MES

where the uncertainty set is flexible and can be optimized based on the operational cost budget. Finally

a revised algorithm

based on the column-and-constraint generation method

is proposed for the model. Case studies are performed on MES that includes a 33-bus distribution system and a heating network modified from a real 51-node network located in Jinlin Province

China. The results verify the effectiveness of the proposed method.