Flexible Combined Heat and Power Dispatch Based on Probabilistic Prediction of Wind Power

Economic development is accompanied by an increase in energy demand, and the energy crisis and environmental pollution problems. The integrated energy system can utilize the coordinated and complementary characteristics of multiple energy sources and the heterogeneous dynamic characteristics of multiple energy flows, which can promote the development of clean energy, intelligent production, and efficient energy consumption. A combined thermoelectric scheduling method based on probabilistic prediction of wind power generation under different control modes of thermal systems is proposed in this paper. First, extreme learning machine method is used as the probabilistic prediction model of wind power generation. On this basis, the combined heat and power scheduling model considering different control modes is established. Finally, a test system of an electric-thermal integrated energy system is taken as an example. The results show that considering the uncertainty of wind power prediction, the control method has the optimality.