  A community integrated energy system (CIES) with an electric vehicle charging
station (EVCS) provides a new way for tackling growing concerns of energy
efficiency and environmental pollution, it is a critical task to coordinate
flexible demand response and multiple renewable uncertainties. To this end, a
novel bi-level optimal dispatching model for the CIES with an EVCS in
multi-stakeholder scenarios is established in this paper. In this model, an
integrated demand response program is designed to promote a balance between
energy supply and demand while maintaining a user comprehensive satisfaction
within an acceptable range. To further tap the potential of demand response
through flexibly guiding users' energy consumption and electric vehicles'
behaviors (charging, discharging and providing spinning reserves), a dynamic
pricing mechanism combining time-of-use and real-time pricing is put forward.
In the solution phase, by using sequence operation theory (SOT), the original
chance-constrained programming (CCP) model is converted into a readily solvable
mixed-integer linear programming (MILP) formulation and finally solved by CPLEX
solver. The simulation results on a practical CIES located in North China
demonstrate that the presented method manages to balance the interests between
CIES and EVCS via the coordination of flexible demand response and uncertain
renewables.
