Overview on modeling and management of Smart Grids

Abstract

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.

Synthesis of modeling and optimal management of smart grids

“…The efficiency of a hybrid system depends on many fundamental factors. The form and type of loads, the cost, the availability of energy, the storage system, and the overlook of the type of energy used to provide the electricity [18][19][20].…”

Modeling and simulation of building energy consumption

“…Generally the HVAC cooling mode is used in the summer when the temperature is very hot. In this work the model is simulated from 13h to 15h (figure 9) and the figure 9 is the energy used in this tree hours (Zhang et al, 2016 ;Pouresmaeil et al, 2013;Saleh et al, 2016;El Khaldi et al, 2021). The HVAC heating mode is used in the winter when the temperature is very cold.…”