18-21 August 2020
Virtual event


Probabilistic Approaches: A Must for the Energy Transition 

Patrick Panciatici, RTE (France)


The massive integration of generating units based on renewable energy sources (RES) with nearly zero marginal costs and mostly connected through power electronics to the grid imposes us  to rethink how to protect, control and optimize power systems. The low controllability of RES generating power pushes to envision solutions based on storage devices and demand responses in order to balance the system. These evolutions are disruptive, historical design assumptions are becoming obsolete: No electrical storage, inflexible demand. There is an urgent need to rethink both economics and dynamics of power systems. Patches to adapt marginally the historical design are perhaps not a good approach even if the migration path is a critical issue. Energy Transition pushes towards more dispersed generation and distributed controls. To ensure a secure and efficient operation of large power systems, we need to understand how to manage large population of devices/agents with some partial autonomy. In this context with an increasing level of uncertainties, probabilistic approaches seem a natural way to tackle this (R)evolution.