Distributed Artificial Intelligence for Collaborative Energy Performance of Prosumers: Application to the Energy Optimization of PV and Energy Storage Systems

Topic description

Summary of the research project: The Upper Rhine region has been undergoing a profound transformation of its local energy system for several years. More than , households or small collective structures now produce their own solar electricity while remaining connected to the distribution network, forming what are known as prosumers. This increasingly growing phenomenon generates new and poorly anticipated constraints on distribution networks: intermittent injections, consumption peaks that are difficult to predict, multiplication of batteries of very different natures. Faced with this reality, the management tools available on the market are too often compartmentalized by brand or country, and none of them really takes advantage of what all these installations collectively represent. 

This PhD offer is part of the European FAIR'nRG Interreg Upper Rhine project, coordinated by CESI in partnership with higher education institutions a...