A context-free smart grid model using pretopologic structure

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.