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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Oukarfi Benyounes
Hassan II University, faculty of sciences and techniques mohammedia
Computer Science & IT Engineering

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A simulation energy management system of a multi-source renewable energy based on multi agent system Aoukach Basma; Oukarfi Benyounes
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v10.i1.pp191-199

Abstract

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.
Co-Authors Aoukach Basma