Abstract: To promote wind power accommodation and decrease wind power curtailments,battery energy storage systems（BESS）are incorporated into the electric heating combined systems. A wind power scenario probabilistic model is established based on probability characteristics of the wind power prediction errors to describe random characteristics of the wind power. Next,a wind power accommodation capability evaluation model is formulated for the electric heating combined systems containing BESS. The evaluation model has two optimization objectives with different dimensions:one is to minimize the operation costs,the other is to minimize the curtailed wind energy. There may be conflicts between the objectives. To solve the evaluation model,it is transformed into multiple single-objective optimization problems by means of the improved main objective method. These single-objective optimization problems are solved by using DICOPT solver in GAMS,so that the Pareto solution set of the evaluation model can be obtained. Based on the Pareto solution set,wind power accommodation capability of the electric heating combined systems is analyzed in depth from two aspects of accommodating wind power and costs. Finally,a simulation example is given to verify the effectiveness of the proposed model and algorithm.