发表机构
Icam School of Engineering; University of Picardie Jules Verne（ICAM工程学院; 亚眠儒勒·凡尔纳大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究提出一种模块化物联网远程实验室平台，采用三接口架构结合工业PLC等实现混合能源系统的远程实验，验证了分层能源管理算法，可支持相关领域的研究与项目式学习。
AI 中文摘要
远程实验室系统通过实现基于互联网与物理设备的交互，提升了工程教育和研究的可及性。本文提出一种用于混合能源系统研究的模块化物联网远程实验室平台，该平台结合了可再生能源模拟器、电池储能系统和可编程负载，采用基于网络人机界面（web HMI）、TIA Portal和MATLAB/Simulink的三接口架构，所有组件均通过Talk2M VPN云连接。工业PLC和物联网网关提供确定性本地控制，以及安全的远程访问和监控功能。通过在相同的风速和辐照度曲线下对比本地与远程执行情况，对分层能源管理算法进行了验证。结果显示，可再生能源、电池和负载的能量平衡存在微小差异，而典型通信延迟约为100毫秒。因此，该平台支持控制与能源系统工程领域的研究级远程实验及项目式学习。
英文摘要
Remote laboratory systems improve accessibility in engineering education and research by enabling Internet-based interaction with physical equipment. This paper presents a modular IoT-enabled remote laboratory platform for hybrid energy system studies, combining renewable energy emulators, battery storage, and programmable loads within a three-interface architecture based on a web HMI, TIA Portal, and MATLAB/Simulink, all connected through a Talk2M VPN cloud. An industrial PLC and IoT gateway provide deterministic local control as well as secure remote access and monitoring. A hierarchical energy-management algorithm is validated by comparing local and remote executions under identical wind and irradiance profiles. The results show small differences in the energy balances of the renewable sources, battery, and load, while typical communication delays are on the order of 100 ms. Consequently, the platform supports research-grade remote experimentation and project-based learning in control and energy systems engineering.
