Authors:
Guillaume Guérard
;
Soufian Ben Amor
and
Alain Bui
Affiliation:
University of Versailles SQ, France
Keyword(s):
Smart Grid, Complex System, Pretopology, Game theory, Multi-agent System.
Related
Ontology
Subjects/Areas/Topics:
Architectures for Smart Grids
;
Energy and Economy
;
Energy-Aware Systems and Technologies
;
Evolutionary Algorithms in Energy Applications
;
Green Computing Models, Methodologies and Paradigms
;
Optimization Techniques for Efficient Energy Consumption
;
Smart Grids
;
Sustainable Computing and Communications
Abstract:
The Power grid evolves, but its structure presents several gaps with the new numerical technologies, renewable
energies and electric vehicles. The literature introduces the concept of Smart Grid, a system which takes into
account the behaviour and the action of its agents. Studying the smart grid through modelling and simulation
provides us with valuable results which cannot be obtained in the real world due to time and cost related
constraints. Nevertheless, due to the complexity of the smart grid, achieving global optimization is not an easy
task. In this paper, we propose a complex system approach to the smart grid modelling, accentuating on the
representation of the structure. Thanks to this combination, the optimization can be achieved on a dynamic
graph taking into account changes and network errors over time, with the ability to detect them.