Speaker
Description
Renewable energy sources such as wind turbines and solar cells are connected to the power grid via grid-forming inverters (GFIs), which can contribute to grid stability and synchronization. Their rollout presents a significant modeling challenge, as GFIs are a relatively new and complex technology, of which there is a limited practical and theoretical understanding. In fact, physics-based modeling is often not feasible.
The so-called normal form of GFIs is a technology-neutral formulation of power grid dynamics that encompasses the space of all plausible GFIs, including established models for conventional generators. It has proven itself to be suited for grey-box modeling, system identification from data, and stability analysis of heterogeneous mixes of technologies. In the normal form approach, GFIs are voltage sources reacting to a collocated current, with the aim of providing a specified amount of power (voltage times current). Therefore, a connection to energy-based modeling lies at hand.
Energy-based modeling is often associated with a bottom-up approach, starting at the underlying physics, while the normal form is a top-down approach starting at the design goal. This contribution explores whether these two complementary approaches can be brought together.
