Under the increasing pressure of political and climatic challenges to reduce global carbon emissions, as required by COP21 and the Paris Agreement, a major transformation of lifestyles, production methods, and urban planning practices has now become essential. Reinventing cities for sustainability and resilience is essential to optimize energy consumption and integrate new technologies. The electricity sector is rapidly evolving with renewable energy sources (RES), distributed generation (DG), and electric vehicles (EVs). SmartGrids, key to the future power grid, integrate DG unitslike EVs and energy storage systems using intelligent forecasting, ICT, and control infrastructures. At the same time, about 40% of the electricity consumption of businesses and homes is dedicated to heating and air conditioning. Furthermore, the electrical and thermal dynamics differ significantly, with thermal inertia offering a form of natural storage compared to electricity.
This internship will first focus on modeling the electro-thermal smart grid. Then, control and management algorithms will be developed and investigated at the neighborhood scale. This task is challenging due to the size and complexity of these networks and the diverse range of dynamics involved, including electrical, thermal, and potentially mechanical systems. Finally, simulations will be conducted to validate the proposed model and demonstrate the effectiveness of the control method.
