6950792
doi
10.11591/ijai.v10.i1.pp191-199
oai:zenodo.org:6950792
Oukarfi Benyounes
Hassan II University of Casablanca
A simulation energy management system of a multi-source renewable energy based on multi agent system
Aoukach Basma
Hassan II University of Casablanca
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Artificial intelligence
MAS
Renewables energies
Storage system
<p>The intermittent nature of renewable energies sources makes their control difficult. One of the solutions to overcome this handicap is to promote hybridization (multi-source system). To ensure continuity of service, a storage system must be coupled to the system. To do so, artificial intelligence based models are developed to respond optimally to the dilemma of energy supply and demand. These models allow the management of the energy flow between the sources (photovoltaic, wind, battery, super capacitor, and generator) and the variable loads by controlling electronic switches according to the availability of the sources. The artificial intelligence algorithm used in this study is multi agent system (MAS). The simulation results and validation tests shows the effectivenes of the proposed approach.</p>
Zenodo
2021-03-01
info:eu-repo/semantics/article
6950791
1659448177.842992
1255670
md5:ae595936fbee4fe114ebaf2e4e0c483b
https://zenodo.org/records/6950792/files/22 20454.pdf
public
International Journal of Artificial Intelligence (IJ-AI)
10
1
191-199
2021-03-01