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基于SAC算法的分体式直流充电站控制系统设计

Design of a Split-type DC Charging Station Control System and Dynamic Flexible Power Scheduling

  • 摘要: 针对传统一体式直流充电桩存在的功率分配僵化、热管理困难及扩容成本高等技术局限,本文提出并设计一种基于“整流柜+多终端”架构的分体式直流充电站控制系统。硬件方面,系统以STM32F429微控制器为主控核心,构建了包含稳压供电、状态检测及安全防护模块的控制底板,并设计由双路并发控制器局域网(controller area network,CAN)总线与RS-485/RS-232接口组成的多节点混合通信架构,实现整流柜、充电终端与电池管理系统(battery management system,BMS)之间的实时数据交互。软件方面,采用模块化编程思想,开发设备自检、身份识别、计费管理及基于软演员-评论家(soft actor-critic,SAC)算法的动态柔性功率分配逻辑。所提出的SAC策略可在总功率约束下实现全站功率的动态协调分配。结果表明:所设计控制系统能够稳定完成整流柜、充电终端与BMS之间的数据交互,并在多车并发接入时维持受约束的柔性功率分配。在4个终端随机接入且站级功率上限为240 kW的场景下,系统能够在满足安全约束的同时实现动态功率协调分配,通信链路保持稳定。该系统可为大功率充电场站的工程化设计与智能运维提供参考。

     

    Abstract: In view of the rigid power allocation, poor thermal management, and high upgrading costs inherent in traditional integrated DC charging piles, a distributed DC charging station control system with a “rectifier cabinet + multi-terminal” architecture was proposed and developed. Hardware-wise, an STM32F429 microcontroller was utilized as the primary control unit, a baseboard integrating regulated power supply, condition monitoring, and safety protection circuits was fabricated, and a hybrid communication network consisting of dual redundant CAN buses and RS-485/RS-232 interfaces was established to facilitate real-time data exchange among the rectifier cabinet, charging terminals, and battery management system (BMS). Software-wise, modular coding principles were adopted, and functions including self-checking, user identification, billing management, and dynamic power scheduling based on the soft actor-critic (SAC) algorithm were implemented. The SAC-based strategy was devised to coordinate dynamic power distribution over the whole station under a global power cap. The experimental results demonstrate that the designed control system can stably support data interaction among the rectifier cabinet, charging terminals, and BMS, while maintaining constrained flexible power allocation under multi-vehicle concurrent access scenarios. Under the test condition with four terminals randomly connected and a station-level power upper limit of 240 kW, the system is shown to achieve dynamic coordinated power allocation while satisfying safety constraints, with the communication links remaining stable throughout the process. This system is expected to provide a valuable technical reference for the engineering design and intelligent operation and maintenance of high-power charging stations.

     

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