Control and Optimization Opportunities in the Integration of Renewable Energy into the Complex Energy Systems
Bilal AMGHAR
Automatique non-linéaire et énergies renouvelables
Nous avons le plaisir de vous annoncer le séminaire de
Bilal AMGHAR, enseignant-chercheur de l’équipe ANLER, portant sur " Control and Optimization Opportunities in the Integration of Renewable Energy into the Complex Energy Systems".
Le 07/12/2023 à 13h15 via Teams.
Résumé :
A substantial reduction of greenhouse gas emissions is necessary to maintain the balance of our ecosystem. The use of renewable energy sources (RES) recognized today as an appropriate response and durable solution. This is the main reason for the occurrence of smart grid, designed to provide a reliable electricity supply and better quality to consumers. “Smart grids” or “intelligent grids” are electricity grids that adjust electricity flows between suppliers and consumers, using IoT tools. They therefore match the production of electricity with its distribution and consumption. The goal ? Reap economic and environmental benefits. On the other hand, the increase in the number of electric vehicles and the development of heat pumps will have a significant impact. If special measures not taken, these new needs, and in particular the recharging of electric vehicles, may considerably increase instantaneous energy consumption. However, smart grid can change this problem to a solution. The electric vehicles are not only consumer ; they are also a valuable resource, thanks to the storage possibilities of their batteries. This system consists of using the battery of an electric vehicle as an extension of the distribution grid, energystores from which the electricity supplier can draw from time to time. In this context at ESTP Paris, we have a 100 kW smart grid test bench that reproduces the same energy constraints as a 19-storey urban building with the aim of raising awareness among engineering students on the place of renewable energies in the future. This device designed to meet teaching, research and innovation objectives.