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Energy Management Algorithms in Smart Grids : State of the Art and Emerging Trends

Authors :
Joelle Klaimi
Akil Jrad
Rana Rahim-Amoud
Leila Merghem-Boulahia
Laboratoire des Systèmes électroniques, Télécommunications et Réseaux (Université Libanaise) (LaSTRe)
Environnement de Réseaux Autonomes (ERA)
Institut Charles Delaunay (ICD)
Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)
Source :
International Journal of Artificial Intelligence & Applications, International Journal of Artificial Intelligence & Applications, 2016, 7 (4), pp.25-45. ⟨10.5121/ijaia.2016.7403⟩
Publication Year :
2016
Publisher :
HAL CCSD, 2016.

Abstract

The electric grid is radically evolving into the smart grid, which is characterized by improved energy efficiency of available resources. The smart grid permits interactions among its computational and physical elements thanks to the integration of Information and Communication Technologies (ICTs). ICTs provide energy management algorithms and allow renewable energy integration and energy price minimization. Given the importance of renewable energy, many researchers developed energy management (EM) algorithms to minimize renewable energy intermittency. EM plays an important role in the control of users' energy consumption and enables increased consumer participation in the market. These algorithms provide consumers with information about their energy consumption patterns and help them adopt energy-efficient behaviour. In this paper, we present a review of the state of the energy management algorithms. We define a set of requirements for EM algorithms and evaluate them qualitatively. We also discuss emerging tools and trends in this area.

Details

Language :
English
ISSN :
09762191
Database :
OpenAIRE
Journal :
International Journal of Artificial Intelligence & Applications, International Journal of Artificial Intelligence & Applications, 2016, 7 (4), pp.25-45. ⟨10.5121/ijaia.2016.7403⟩
Accession number :
edsair.doi.dedup.....f8459d0abc3324d63c28072d5ba6cd00
Full Text :
https://doi.org/10.5121/ijaia.2016.7403⟩