
Overview on modeling and management of Smart Grids
Author(s) -
Jihen El khaldi,
Lotfi Bouslimi,
Hamza Wertani,
Mohamed Najeh Lakhoua
Publication year - 2021
Publication title -
independent journal of management and production
Language(s) - English
Resource type - Journals
ISSN - 2236-269X
DOI - 10.14807/ijmp.v12i5.1379
Subject(s) - computer science , smart grid , graph , data science , distributed computing , management science , data mining , artificial intelligence , theoretical computer science , ecology , economics , biology
The concept of Smart Grids refers to a complex ecosystem that can be described as a combination of systems to capture its most structural elements. When studying these complex systems, the traditional tools of the Cartesian methods have shown their limits. There is therefore a need to resort to other methods to model them. These modeling methods are generally classified and grouped into five families: functional modeling, decision modeling, resource modeling, information modeling and mixed modeling. This review provides an overview of the state of the art of an intelligent network. The classification of modeling methods is also presented. Then an application of the bond graph approach will be explained. Finally we describe a general idea on the management of smart grids.