考虑多智能体协同的电动汽车充放电分散式实时优化策略

针对多充电站/电动汽车区域能量管理系统(electric vehicles distributed energy management system,EVDEM S)情景下电动汽车充放电优化的问题,将各充电站/EV-DEM S视为充电智能体,建立了考虑多个充电智能体的分散式实时优化架构来协调各智能体的充放电策略。模型在满足车主充电需求的前提下,以日负荷曲线波动最小为目标,实现电网侧的削峰填谷。仿真算例表明,和传统的集中优化方式相比,该分散式优化模型和算法能够很好地对各智能体充放电计划进行协调优化,在保证优化结果的情况下能够极大地提升计算速度。

Distributed Real-Time Optimization Strategy of Electric Vehicle Charge/Discharge in Cooperation with Multi-Agent System

According to the optimization problem of electric vehicle (EV) charge/discharge under the situation of a system with several charge station or electric vehicle (EV) distributed energy management system (EV-DEMS),this paper takes the charge station and EV-DEMS as charge/discharge agents and proposes a distributed real-time schedule strategy to coordinate the charge/discharge of each agent with considering several charge/discharge agents.Under the premise of satisfying the charging demand of the owner,the model aims at minimizing the fluctuation of the daily load curve to achieve peak shaving and valley filling at the grid side.The simulation case shows that the distributed optimization model and algorithm can well coordinate and optimize the charging and discharging plan of each agent compared with traditional centralized optimization method,and can greatly increase the computation speed when the optimization result is guaranteed.