Optimal Charging Scheduling for Electric Vehicle Aggregator Considering Incentive Demand Response

An active demand response approach was proposed for electric vehicle users by reporting their charging status to the aggregator. Optimal charging scheduling model of the aggregator in the real-time electricity market considering coupon-based active demand response was built. This bi-level model was constructed with the upper level model aiming at maximizing the aggregator’s revenue constrained the consumer’s active demand response, and the lower level market clearing model providing market price for the upper model. The optimal charging scheduling model is a mixed integer linear programming model solved by the combination of Surrogate Lagrangian Relaxation and Branch-And-Cut method. The example analysis shows that the proposed model can increase the aggregator’s profit.