Implementation of demand side management of a smart home using multi-agent system

2016 ◽  
Author(s):  
Weixian Li ◽  
T. Logenthiran ◽  
W. L. Woo ◽  
Van-Tung Phan ◽  
D. Srinivasan
Keyword(s):  
Smart Home ◽  
Demand Side Management ◽  
Multi Agent System ◽  
Demand Side ◽  
Agent System ◽  
Multi Agent

A novel multi-agent system utilizing quantum-inspired evolution for demand side management in the future smart grid

2013 ◽  
Vol 20 (2) ◽  
pp. 127-141 ◽  
Author(s):  
Rashad Badawy ◽  
Abdulsalam Yassine ◽  
Axel Heßler ◽  
Benjamin Hirsch ◽  
Sahin Albayrak
Keyword(s):  
Smart Grid ◽  
Demand Side Management ◽  
Multi Agent System ◽  
Demand Side ◽  
Agent System ◽  
The Future ◽  
Multi Agent

A multi-agent system approach to exploit demand-side flexibility in an energy community

2020 ◽  
Vol 67 ◽  
pp. 101114 ◽  
Author(s):  
Inês F.G. Reis ◽  
Ivo Gonçalves ◽  
Marta A.R. Lopes ◽  
Carlos Henggeler Antunes
Keyword(s):  
System Approach ◽  
Multi Agent System ◽  
Demand Side ◽  
Agent System ◽  
Multi Agent ◽  
Energy Community

scholarly journals Microgrid energy management system for smart home using multi-agent system

2022 ◽  
Vol 12 (2) ◽  
pp. 1153
Author(s):  
Reda Jabeur ◽  
Youness Boujoudar ◽  
Mohamed Azeroual ◽  
Ayman Aljarbouh ◽  
Najat Ouaaline
Keyword(s):  
Energy Management ◽  
Management System ◽  
Smart Home ◽  
Energy Management System ◽  
Multi Agent System ◽  
Agent System ◽  
Development Framework ◽  
Multi Agent ◽  
Electrical Loads ◽  
Battery Energy

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.

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