Optimization of Energy Sub Hub with Wind Power and Demand Response

Under the dual pressure of the growing crisis in energy and severe pollution in environment, the research on energy utilization has attracted people's attention. Energy hub (EH) is a dual port network node which can represent the complex coupling among different types of energy. In this paper, a new energy hub model is applied with the Monte Carlo method in order to reduce the impact of uncertainties of the wind power. Considering the constraints of energy storage and demand response, an optimal scheduling model of the minimum energy daily payment is established. Simulation results in different scenarios validate the feasibility and generality of the sub hub model. Besides, the results indicate that the participation of energy storage systems (ESSs) and demand response programs (DRPs) has a certain effect on reducing costs.