Electric Vehicle Virtual Aggregator Scheduling Strategy Under Incentive Demand Response

As a resource for regulatory demand response, electric vehicles play a crucial role in the power system. How to schedule users to participate in demand response while ensuring user satisfaction has become a current research hotspot. Aiming at the incentive measures of electric vehicle demand response, this study puts forward a regulation scheme for virtual cluster management of electric vehicles, namely the regulation strategy of duration agreement. This strategy is founded on the long-term incentive scheduling agreements signed between certain electric vehicle (EV) users and the demand cluster. Its objective is to maximize benefits and minimize demand fluctuations through optimization. Moreover, this study explores the number of EVs participating in incentive scheduling based on this strategy, as well as the impact of incentive discounts on the comprehensive benefits of virtual aggregators and the electricity bills of electric vehicles. On this basis, the improved multi-objective particle swarm optimization algorithm is employed to solve this problem. Virtual experiments have verified that the duration agreement regulation strategy has a positive effect on enhancing the economic benefits of virtual aggregators and can effectively reduce the charging costs of electric vehicles. Simultaneously, this strategy can fully leverage the dual roles of electric vehicles as both a load and a power supply, and efficiently regulate the charging and discharging of electric vehicles. This not only alleviates the load pressure caused by electric vehicles being connected to the grid but also contributes to regulating the auxiliary peaking service of the power network.