A Modular IoT-Enabled Remote Laboratory Platform for Hybrid Energy System Research and Engineering Education
Lamine Chalal, Louis Olivier, Pierre Liennard, Allal Saadane, Ahmed Rachid
Abstract
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.
Create a lesson
Related papers
Tests on the POD-P controller of INELFE Spain-France VSC-HVDC interconnector
Javier Renedo, Agustín Diaz-García, Gilles Torresan et al.
Guidelines for the implementation of power oscillation damping controllers in power converters
Javier Renedo, Macarena Martín Almenta, Sergio Martínez Villanueva et al.
Economic Model Predictive Control with Policy-Guided Terminal Ingredients
Salim Msaad, Robert D. McAllister
Zonotope-Based Active Exposure of Stealthy Deception Attacks in Sensor-Fusion Systems
Meiqi Tian, Shuo Li, Bingzhuo Zhong
Physics-based Online Adaptive Koopman Model Predictive Attitude Control for Combined Spacecraft with Dynamic Uncertainties
Yicheng Sun, Yueyong Lyu, Yuhan Liu et al.
Effective Range and Optimal Frequency of Through-the-Earth Magnetic Induction Communication
Honglei Ma, Erwu Liu, Wei Ni et al.