Open AccessMicrogrid energy management system for smart home using multi-agent system
Author(s) -
Reda Jabeur,
youness Boujoudar,
Mohamed Azeroual,
Ayman Aljarbouh,
Najat Ouaaline
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v12i2.pp1153-1160
Subject(s) - microgrid , jade (particle detector) , energy management system , computer science , energy management , photovoltaic system , schedule , multi agent system , matlab , energy storage , smart grid , distributed generation , component (thermodynamics) , distributed computing , embedded system , simulation , energy (signal processing) , renewable energy , operating system , power (physics) , engineering , control (management) , electrical engineering , artificial intelligence , statistics , physics , mathematics , particle physics , quantum mechanics , thermodynamics
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.