Research on dynamic pricing strategy of electric material distribution vehicle based on master-slave game and multi-hot code

In order to reduce carbon emissions and fossil energy consumption, the number of electric vehicles in China has increased year by year in recent years and have been widely used in many fields such as logistics and transportation, public transportation and so on. A large number of electric logistics vehicles, as flexible response resources on the demand side, can participate in the demand response through load aggregators. Therefore, it is necessary to study the pricing strategy of load aggregators, so as to realize the optimization of multiple economic interests. Based on the operation model of load aggregator, a master-slave game two-level optimization model of load aggregator with energy storage resources is established by using multi-thermal codes to number vehicles. Simulation results show that the load aggregators of charging prices set by the time the influence of the proportion of electric material distribution vehicle. Energy storage device of chance constrained the confidence level is lower, the higher the income of the load aggregators, the flexibility of its response to real-time electricity price, the better, but earnings threshold, so you need to choose a reasonable confidence level to ensure that the load aggregators has certain economy and flexibility. Based on these results, we can provide a basis for pricing and energy storage configuration of composite aggregators.