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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Indonesian Journal of Electrical Engineering and Computer Science
Somia Benali
Ahmed Zabana Relizane University
Control & Systems Engineering Electrical & Electronics Engineering

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Design of a cost-effective online experimental platform for electrical experiments using a Raspberry Pi-based system Abdelkrim Benali; Somia Benali; Benameur Hemidi
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 2: May 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i2.pp337-348

Abstract

Following the COVID-19 pandemic, online learning platforms have become vital for supporting distance education. This work presents LABTEC, an online Experimental Platform for electronics education that enables students to manipulate real hardware through a learning management system (LMS). The platform allows remote execution of experiments with electronic circuits and instruments, such as oscilloscopes, providing hands-on practice over the Internet in real time. The main contributions of this work are threefold: (i) a hybrid Flask–Django server architecture, where flask manages instrument-level control and Django provides secure and scalable web services; (ii) the use of a Raspberry Pi gateway as a cost-efficient and versatile hardware interface; and (iii) an open-source remote laboratory framework experimentally validated to support real-time interaction with average end-to-end latency below 50 ms, stable multi-user access, and low resource utilization. Experimental results demonstrate reliable operation under concurrent user scenarios, achieving consistent measurement visualization and control with reduced deployment cost compared to proprietary and institution-centric remote laboratory platforms. Performance evaluation shows a control latency below 50 ms for closed-loop tasks, a success rate above 98% under multi-user access, and average CPU and RAM usage of 35% and 420 MB on Raspberry Pi 4B during peak load. These results demonstrate that the system is responsive, reliable, and suitable for concurrent experiments. Although validated with a single instrument type, the proposed approach offers a scalable and replicable solution that can significantly enhance electronics education and lower laboratory infrastructure costs.
Real time fuzzy energy management of hybrid storage systems in DC microgrids with dynamic voltage restorer assisted power quality enhancement Yacine Benatallah; Abdelkrim Benali; Mabrouk Dahane; Somia Benali
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i3.pp2197-2209

Abstract

This paper presents a real-time fuzzy logic-based energy management system (EMS) for a hybrid DC microgrid supplying a constant DC load and an AC sensitive load protected by a dynamic voltage restorer (DVR). The system integrates a 25-kW photovoltaic (PV) array, a 10-kW fuel cell (FC), a 15-kW battery energy storage system, and a 396 V supercapacitor bank. The EMS calculates the net power balance (ΔP = PPV - Pload), compares it with the states-of-charge (SoC) of the battery and supercapacitor, and dynamically allocates power references to each source. Fuzzy rules prioritize renewable generation, exploit the supercapacitor for fast transient compensation, and schedule the battery and fuel cell for medium- and long-term power balancing. The DVR acts as a series active power filter, injecting real power during sags and absorbing excess energy during swells, while the EMS maintains DC bus stability under fault conditions. Simulation results demonstrate enhanced DC bus voltage regulation, reduced battery cycling, efficient hydrogen utilization, and rapid recovery from voltage disturbances. The proposed strategy improves power quality and ensures continuous operation of sensitive loads, making it suitable for smart grid and renewable-based microgrid applications.
Co-Authors Abdelkrim Benali Benameur Hemidi Mabrouk Dahane Yacine Benatallah