The invention relates to the technical field of power systems, in particular to a frequency modulation hierarchical scheduling control method and device, an electric vehicle and a storage medium, and the method comprises the steps: building a cloud side-end collaborative architecture in which a large-scale electric vehicle participates in power grid frequency modulation; under the cloud side-end collaborative architecture, establishing a model for performing frequency modulation capability rolling evaluation on the electric vehicle subgroups controlled by the electric vehicle aggregator by the electric vehicle aggregator, so as to upload the frequency modulation capacity to the cloud side to serve as a basis for decomposing a frequency modulation instruction between the sides; and according to a reinforcement learning-based large-scale electric vehicle cluster frequency modulation instruction hierarchical decomposition strategy, a reinforcement learning method is utilized to decompose a frequency modulation instruction issued by a cloud side among the EV subgroups on the side, and a reinforcement learning model for minimizing the total charging cost of the electric vehicle cluster is obtained. Therefore, the problems that the charging and discharging strategy of the electric vehicle is difficult to reasonably plan, the overall energy loss is easily caused, the cost is increased and the like due to the fact that the economic performance in the frequency modulation process is not considered in the related technology are solved.
本申请涉及电力系统技术领域,特别涉及一种调频分层调度控制方法、装置、电动汽车及存储介质,其中,方法包括:建立规模化电动汽车参与电网调频的云边端协同架构;在云边端协同架构下,建立电动汽车聚合商对其控制的电动汽车子群进行调频能力滚动评估模型,以将调频容量上传至云侧以作为调频指令在边侧之间分解的依据;以及基于强化学习的规模化电动汽车集群调频指令分层分解策略,以利用强化学习方法将云侧下发的调频指令在边侧各EV子群之间分解,得到最小化电动汽车集群充电总成本的强化学习模型。由此,解决了相关技术中,由于没有考虑调频过程中的经济性能,导致难以合理规划电动汽车的充放电策略,容易造成整体能源的损耗,增加成本等问题。
Frequency modulation hierarchical scheduling control method and device, electric vehicle and storage medium
调频分层调度控制方法、装置、电动汽车及存储介质
2024-03-15
Patent
Elektronische Ressource
Chinesisch
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