Intelligent Optimization And Management System For Renewable Energy Systems Using Multi-Agent

Chahinaze Ameur, Sanaa Faquir, Ali Yahyaouy


Hybrid energy systems (HES) using renewable energy
sources are an interesting solution for power stand-alone
systems. However, the energy management of such systems is
very complex. This paper presents a Multi Agent System (MAS)
framework applied to manage the flow of energy in a hybrid
stand-alone system. The proposed system consists of photovoltaic
panels and a wind turbine along with batteries as storage units.
The proposed MAS architecture composed of different agents
(photovoltaic agent, wind turbine agent, supervisor agent, load
controller agent, and storage agent) was developed to manage
the flow of energy between the energy resources and the storage
units for an isolated house. The agent-approach for HES is
explained and the proposed MAS is presented and a simulation
model is developed in the java agent development environment
(JADE). The system was tested with empty batteries and full
batteries and results showed that the system could satisfy the
load demand while maintaining the level of the batteries between
30% (minimum discharging rate) and 80% (maximum charging


Multi-agent system, Photovoltaic panels, Renewable energy, Wind turbine

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Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.