This paper presents a high performance 4-layer communication architecture for a smart micro-grid testbed which consists of a 2 kVA Distributed Energy Resource (DER) inverter with PV and battery channels capable of advanced grid supportive and grid forming functions in the Process layer, a Raspberry Pi computer in the Interface layer, a customized Edge Intelligent Device (EID) in the Sub-station layer, and an end-to-end solar energy optimization platform (e-SEOP) in the Supervisory layer. The Raspberry Pi serves as a communication interface which communicates with the DER inverter using Serial Peripheral Interface (SPI) communication and talks to the EID using Modbus TCP/IP protocol. This paper provides a convenient and comprehensive solution to SPI and Modbus TCP/IP communication implementation in a smart micro-grid. The challenges of coordination between communication and system control and between different communication protocols have been addressed, which leads to a boost in the communication efficiency and makes the system highly scalable, flexible and adaptive. The proposed communication architecture as well as the micro-grid test bench have been validated through hardware experiments. The results indicate a reliable and efficient communication among different layers, which facilitates large-scale status monitoring of edge devices and coordinated control of the entire system.

中文翻译：

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使用带有SPI和Modbus TCP / IP通信协议的定制边缘智能设备（EID）的智能微电网测试平台的高性能通信体系结构

本文介绍了一种用于智能微电网测试台的高性能4层通信架构，该架构由一个2 kVA分布式能源（DER）逆变器组成，该逆变器具有PV和电池通道，能够在处理层中实现高级的网格支持和网格形成功能，接口层中的Raspberry Pi计算机，变电站层中的自定义边缘智能设备（EID），以及主管层中的端到端太阳能优化平台（e-SEOP）。Raspberry Pi用作通信接口，可使用串行外围设备接口（SPI）通信与DER逆变器进行通信，并使用Modbus TCP / IP协议与EID进行通信。本文为智能微电网中的SPI和Modbus TCP / IP通信实现提供了一种方便，全面的解决方案。解决了通信与系统控制之间以及不同通信协议之间进行协调的挑战，这导致了通信效率的提高，并使系统具有高度可伸缩性，灵活性和自适应性。所提出的通信体系结构以及微电网测试平台已经通过硬件实验进行了验证。结果表明，在不同层之间进行了可靠而有效的通信，这有利于边缘设备的大规模状态监视和整个系统的协调控制。所提出的通信体系结构以及微电网测试平台已经通过硬件实验进行了验证。结果表明，在不同层之间进行了可靠而有效的通信，这有利于边缘设备的大规模状态监视和整个系统的协调控制。所提出的通信体系结构以及微电网测试平台已经通过硬件实验进行了验证。结果表明，在不同层之间进行了可靠而有效的通信，这有利于边缘设备的大规模状态监视和整个系统的协调控制。