The invention discloses an electric vehicle charging and discharging management method and system, and the method comprises the steps: building a deep reinforcement learning model with the minimum active power loss as a reward function based on the interaction information between an electric vehicle charging pile and a TTU, and carrying out the learning of the charging and discharging process of an electric vehicle through the deep reinforcement learning model, and rewards at the moment t and the moment t + 1 are considered at the same time, an optimal regulation and control strategy of the electric vehicle is finally obtained, and charging and discharging management of the electric vehicle is carried out according to the optimal regulation and control strategy. The method can effectively improve the utilization efficiency of a power grid, is suitable for searching an optimal strategy in a complex and uncertain environment, can achieve the effect of load scheduling, achieves the peak load shifting, and promotes the new energy consumption.
本发明公开了一种电动汽车充放电管理方法及系统,基于电动汽车充电桩与TTU之间的交互信息,以有功功率损耗最小为奖励函数构建深度强化学习模型,采用深度强化学习模型对电动汽车充放电过程进行学习,并同时考虑t时刻和t+1时刻的奖励,最终得到电动汽车最优的调控策略,根据最优的调控策略进行电动汽车充放电管理。可以有效的提高电网的利用效率,适用于在复杂不确定性的环境中寻找最优策略,从而可以发挥负荷调度的作用,实现削峰填谷、促进新能源消纳。
Electric vehicle charging and discharging management method and system
一种电动汽车充放电管理方法及系统
2023-07-04
Patent
Elektronische Ressource
Chinesisch
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen |
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