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Ayman Aljarbouh
University of Central Asia
Computer Science & IT Electrical & Electronics Engineering

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Microgrid energy management system for smart home using multi-agent system Reda Jabeur; youness Boujoudar; Mohamed Azeroual; Ayman Aljarbouh; Najat Ouaaline
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i2.pp1153-1160

Abstract

This paper proposes a multi-agent system for energy management in a microgrid for smart home applications, the microgrid comprises a photovoltaic source, battery energy storage, electrical loads, and an energy management system (EMS) based on smart agents. The microgrid can be connected to the grid or operating in island mode. All distributed sources are implemented using MATLAB/Simulink to simulate a dynamic model of each electrical component. The agent proposed can interact with each other to find the best strategy for energy management using the java agent development framework (JADE) simulator. Furthermore, the proposed agent framework is also validated through a different case study, the efficiency of the proposed approach to schedule local resources and energy management for microgrid is analyzed. The simulation results verify the efficacy of the proposed approach using Simulink/JADE co-simulation.
Fuzzy logic-based controller of the bidirectional direct current to direct current converter in microgrid Younes Boujoudar; Mohamed Azeroual; Lahcen Eliysaouy; Fatima Zahra Bassine; Aiman J. Albarakati; Ayman Aljarbouh; Alexey Knyazkov; Hassan El Moussaoui; Tijani Lamhamdi
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i5.pp4789-4797

Abstract

Microgrids are small-scale power networks that include renewable energy sources, load, energy storage systems, and energy management systems (EMS). Lithium-ion batteries are the most used battery for energy storage in microgrids due to their advantages over other types of batteries. However, to protect the battery from the explosion and to manage to charge and discharge based on state-of-charge (SoC) value, this type of battery requires the use of an energy management system. The main objective of this paper is to propose an intelligent control strategy for energy management in the microgrid to control the charge and discharge of Li-ion batteries to stabilize the system and reduce the cost of electricity due to the high cost of grid electricity. The proposed technique is based on a fuzzy logic controller (FLC) for voltage control. The FLC is based on the measured voltage of the direct current (DC) bus and the fixed reference voltage to generate buck/boost converter signal control. The proposed technique has been simulated and tested using MATLAB/Simulink software which illustrates the tracking of desired power and DC bus voltage regulation. The simulation results confirm that the proposed systems can diminish the deviations of the system's voltage.
Co-Authors Aiman J. Albarakati Alexey Knyazkov Fatima Zahra Bassine Hassan El Moussaoui Lahcen Eliysaouy Mohamed Azeroual Mohamed Azeroual Najat Ouaaline Reda Jabeur Tijani Lamhamdi Younes Boujoudar youness Boujoudar