Abstract: In the background of the integrated market operation of the day-ahead energy trading and deep regulation service trading in Northeast China, a joint clearing model of the two market is established. The objective function of the model is to minimum the sum of the generation cost, start-up cost, and deep regulation compensation cost of thermal power units, as well as the compensation cost for renewable energy curtailment. It is subjective to the system power balance constraint, reserve constraint, and the operation boundaries of thermal power units and renewable energy generation. It realizes the global optimality for the two markets under the premise of priority consumption for renewable energy generation. It pre-clears the energy market and then re-clears the joint market. The numerical simulation shows that the joint market clearing problem can be solved within acceptable time.