Energy management system and supervision in a micro-grid using artificial neural network technique

Ezzitouni Jarmouni (Laboratory of Radiation-Matter and Instrumentation (RMI))
Ahmed Mouhsen (Industrial Management and Innovation (IMII))
Mohammed Lamhammedi (Laboratory of Radiation-Matter and Instrumentation (RMI))
Hicham Ouldzira (Industrial Management and Innovation (IMII))

International Journal of Power Electronics and Drive Systems (IJPEDS)
Vol 12, No 4: December 2021

Nowadays, the combination of conventional and renewable energy sources such as solar energy is one of the most widespread solutions to surmount the challenge of the climate and energy crisis. In the presence of random behavior of photovoltaic systems and variable power demand by consumers, energy management is a real challenge. In this paper, we propose a new energy management technique based on artificial neural networks in a smart grid. This will ensure the continuous supply of electricity to the consumer in the presence of random operation in energy consumption and generation. The global system is modeled and simulated under the MATLAB/Simulink tool.