Generation-load-storage Coordinated Optimization for Regional Energy Internet Considering Uncertainties

The conception of energy internet has provided new approach for integrated energy utilization. A two-stage “generation-load-storage” coordinated optimization method for regional energy internets considering renewable energy and load uncertainties is proposed. The day-ahead optimization determines the electricity price, demand response and unit output in the next day with the aim of maximizing the social welfare. In the intraday optimization, the total operating cost is minimized using scenario-based economic dispatch models. Case study shows that the proposed model and method can reduce the operating costs and promote the reliability of the energy internet considering uncertainties.