A data-driven distributionally robust coordinated dispatch model for integrated power and heating systems considering wind power uncertainties

When dealing with the practical wind power uncertainties in integrated power and heating systems, stochastic optimization is not feasible due to the unavailable accurate probability distribution function while robust optimization may result in over-conservative decisions. Based on the known historical data, a data-driven two-stage distributionally robust dispatch method is proposed in this study with the electric boiler, heating storage device, power storage device and combined heat and power (CHP) units considered in the model, which is then solved by a column and constraint generation (CCG) algorithm. The effectiveness of the proposed method is verified based on a modified IEEE 39-bus system.