Experimental validation of a hybrid AC/DC microgrid energy management system using Processor-in-the-Loop testing for green energy applications

This paper presents the experimental validation of an energy management system (EMS) for a hybrid AC/DC microgrid (MG) that integrates renewable energy sources (RES) and a gas turbine as an auxiliary source. The MG, connected to the main grid, allows bidirectional energy exchange to meet variable power demands. The validation uses Processor-in-the-Loop (PIL) testing, implemented on an ESP32 microcontroller, and features a Human–Machine Interface (HMI) for real-time monitoring and interaction. The study adopts a Model-Based Design (MBD) approach, progressing through the MIL, SIL, and PIL phases to ensure EMS accuracy and reliability. PIL testing combines EMS running on the ESP32 with a MATLAB/Simulink MG model in a closed-loop configuration. The key scenarios analyzed include power exchange profiles, daily C O 2 emissions, and visualization of power balance through the HMI. The results confirm the effectiveness of the EMS, with a strong alignment between PIL and conventional simulations, while highlighting hardware-induced delays. EMS achieves substantial improvements in C O 2 emission reduction, integration of RES and cost optimization. This work demonstrates the robustness of PIL testing for EMS validation, bridging simulation, and real-world deployment. The HMI improves usability and diagnostic capabilities, paving the way for efficient and scalable EMS in hybrid MG.

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Publication Details

Journal
Franklin Open
Published
2025-11-28
DOI
https://doi.org/10.1016/j.fraope.2025.100453
Primary Topic
Real-time simulation and control systems
Type
article
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article

Experimental validation of a hybrid AC/DC microgrid energy management system using Processor-in-the-Loop testing for green energy applications

Ssadik Charadi, Maha Annoukoubi, Abdennebi El Hasnaoui, Youssef Akarne et al.
Franklin Open
Real-time simulation and control systems
article

Experimental validation of a hybrid AC/DC microgrid energy management system using Processor-in-the-Loop testing for green energy applications

Ssadik Charadi, Maha Annoukoubi, Abdennebi El Hasnaoui, Youssef Akarne, Abdelbari Redouane, Houssam Eddine Chakir
article en

Abstract

This paper presents the experimental validation of an energy management system (EMS) for a hybrid AC/DC microgrid (MG) that integrates renewable energy sources (RES) and a gas turbine as an auxiliary source. The MG, connected to the main grid, allows bidirectional energy exchange to meet variable power demands. The validation uses Processor-in-the-Loop (PIL) testing, implemented on an ESP32 microcontroller, and features a Human–Machine Interface (HMI) for real-time monitoring and interaction. The study adopts a Model-Based Design (MBD) approach, progressing through the MIL, SIL, and PIL phases to ensure EMS accuracy and reliability. PIL testing combines EMS running on the ESP32 with a MATLAB/Simulink MG model in a closed-loop configuration. The key scenarios analyzed include power exchange profiles, daily C O 2 emissions, and visualization of power balance through the HMI. The results confirm the effectiveness of the EMS, with a strong alignment between PIL and conventional simulations, while highlighting hardware-induced delays. EMS achieves substantial improvements in C O 2 emission reduction, integration of RES and cost optimization. This work demonstrates the robustness of PIL testing for EMS validation, bridging simulation, and real-world deployment. The HMI improves usability and diagnostic capabilities, paving the way for efficient and scalable EMS in hybrid MG.

Franklin OpenVol. 13
Instituts Supérieurs des Professions Infirmières et Techniques de Santé (MA), Moroccan Foundation for Advanced Science, Innovation and Research (MA), École Normale Supérieure de l'Enseignement Technique de Mohammedia (MA), Université Mohammed VI Polytechnique (MA), National School of Mineral Industry (MA), Université Hassan II Mohammedia (MA)
Openalex Percentile: Top 54%
Real-time simulation and control systems
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