“The proportion of electric heating load during the winter heating period in a provincial power grid in Northwest China is high, and the penetration rate of wind power is increasing. The existing scheduling strategy lacks flexibility, and the problem of wind power curtailment is serious. Based on the characteristics of thermal storage electric heating, experts have established a collaborative scheduling mechanism and proposed a mixed time scale optimization scheduling strategy. Simulation analysis shows that this strategy can optimize the load curve, balance wind power prediction errors, improve wind power consumption level and operational economy.”