Intelligent Distributed Charging Control for Large Scale Electric Vehicles: A Multi-Cluster Mean Field Game Approach
Intelligent Distributed Charging Control for Large Scale Electric Vehicles: A Multi-Cluster Mean Field Game Approach
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DOI：
10.1145/3576914.3587709
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发表时间：
2023-05
期刊：
影响因子：
--
通讯作者：
Shawon Dey;Hao Xu
中科院分区：
文献类型：
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作者：
Shawon Dey;Hao Xu
提出了一种大规模电动汽车（LS-EVs）系统的智能分布式最优充电控制方法。智能城市中电动汽车的日益普及正在给电力容量带来压力，导致能源需求高涨和分时电价（TOU）飙升，这正成为一个亟待解决的问题。当解决LS-EV的这个问题时，传统的协作集中式系统遇到了通信和计算复杂性的挑战。为了解决这些问题，一个分布式的最优充电控制策略已被开发。具体而言，智能城市中的LS-EV已被划分为有限数量的集群。然后，平均场博弈（MFG）理论已被用于集群内和集群间电动汽车，以获得分布式最优充电控制。MFG技术将来自特定集群的所有EV的荷电状态（SOC）合并到概率密度函数（PDF）中。然后，所有集群的PDF被用来实现城市中的每辆电动汽车的最优充电决策。此外，多演员临界质量（MACM）强化学习算法的学习多集群平均场博弈分布式充电控制的最优解的构建。最后，为了证明所提出的方案的有效性，数值模拟进行了。
This paper presents an intelligent distributed optimal charging control for large-scale Electric Vehicles (LS-EVs) systems. The rising popularity of electric vehicles in smart cities is putting a strain on the power capacity, leading to high demand for energy and a surge in time-of-use (TOU) prices, which is becoming a pressing issue to address. When solving this issue for LS-EVs, the conventional cooperative centralized system encounters communication and computational complexity challenges. To address these issues, a distributed optimal charging control strategy has been developed. Specifically, the LS-EVs in a smart city has been divided into a finite number of clusters. Then, a mean field game (MFG) theory has been utilized for intra and inter clusters EVs to obtain the distributed optimal charging control. The MFG technique incorporates the state of charge (SOC) of all EVs from a particular cluster into a probability density function(PDF). Then, the PDFs of all clusters are employed to achieve the optimal charging decision for each EV in the city. In addition, a multi-actor-critic-mass (MACM) reinforcement learning algorithm is constructed to learn the optimal solution of the multi-cluster mean field game distributed charging control. Finally, to show the effectiveness of the presented schemes, numerical simulations have been performed.