Reasonable optimization of the charging and discharging process of electric vehicles can provide auxiliary services for the power grid. The market mechanism of EV participation in peak-filling and valley filling is constructed, and the compensation mechanism of response is proposed. The multi-objective interval scheduling model of aggregator considering the uncertainty of market electricity price is established. The original multi-objective optimization model is transformed into single target by introducing ε constraint. The deterministic model is obtained by the Pareto, and the fuzzy satisfaction function is further constructed. The Pareto solution with the highest comprehensive satisfaction is the optimal solution. The results of the example analysis show that under the established market mechanism, the aggregator can achieve good two-way interaction with the power company according to market demand. After solving the multi-objective interval, the equilibrium between the economy and robustness can be realized, and the feasibility and effectiveness of the scheduling strategy are further verified.
