Title: Intelligent multi-agent system for smart microgrid energy management

Authors: Didi Omar Elamine; El Habib Nfaoui; Jaouad Boumhidi

Addresses: Department of Computer Science, Faculty of Sciences Dhar Mehraz, Sidi Mohammed ben Abdellah University, Fez 30000, Morocco ' Department of Computer Science, Faculty of Sciences Dhar Mehraz, Sidi Mohammed ben Abdellah University, Fez 30000, Morocco ' Department of Computer Science, Faculty of Sciences Dhar Mehraz, Sidi Mohammed ben Abdellah University, Fez 30000, Morocco

Abstract: In this paper, an intelligent energy management is presented for distributed structure such as a smart microgrid (MG) that can operate in islanded or connected mode with the main grid. To model this MG, a multi-agent is proposed. This system is based on wind power prediction and fuzzy logic control for storage device. The goal of the MAS is to control the amount of power delivered or taken from the main grid in order to reduce the cost and maximise the benefit, to achieve the mentioned goal, the neural network is proposed to predict the amount of electricity that will be produced for the next hour and fuzzy logic control for the battery to taking a reasonable decision about storing or selling electricity, finally and for the simulation, the jade platform has been used to show the impact of using the proposed system.

Keywords: wind energy; wind power; multi-agent systems; intelligent MAS; prediction; neural networks; fuzzy logic control; FLC; fuzzy control; energy management; smart microgrid; simulation.

DOI: 10.1504/IJIEI.2016.080518

International Journal of Intelligent Engineering Informatics, 2016 Vol.4 No.3/4, pp.245 - 266

Received: 08 Oct 2015
Accepted: 01 Mar 2016

Published online: 28 Nov 2016 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article