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.
The modelling of systems using systemic tools has been for a few years, a subject which has attracted the attention of scientists and especially researchers to allow designers to acquire a rigorous approach to problem solving using the capabilities of already existing methods and tools. This document presents a contribution in the field of modelling, where a methodology based on two methods has been proposed. The first concerns the functional analysis to extract the use functions and the constraint parameters from the system. In this methodology, the static functional study is carried out using the SADT method. On the other hand, the dynamic behavioral analysis is carried out by the SA-RT method. Then, we used a behavioral and parametric analysis, the Bond Graph method, to observe the evolution of representative quantities of a photovoltaic system.
The increase in population and industrialization has increased the consumption of electricity. Currently, it is impossible to live without electricity. Indeed, it is necessary for the economic, social and industrial progress in all the countries of the world. This is why we are always asked to develop all types of energy to produce clean and safe to improve energy efficiency. Indeed, the use of new renewable energy sources helps to mitigate greenhouse gas emissions and dependence on centralized energy sickles. The difficulties of renewable energy-based power systems lie in their production, which is not controllable and may not meet the increase in energy demand.
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