A simulation energy management system of a multi-source renewable energy based on multi agent system

Aoukach Basma (Hassan II University, faculty of sciences and techniques mohammedia)
Oukarfi Benyounes (Hassan II University, faculty of sciences and techniques mohammedia)

IAES International Journal of Artificial Intelligence (IJ-AI)
Vol 10, No 1: March 2021

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.