Static and dynamic simulation

Static and dynamic simulation under uncertainty

Simulating power grids with their vast number of components, requires computational demanding calculations of nonlinear equations. As a result, critical analyses such as contingency or load flow calculations often rely on assumptions and simplifications. In these cases, the computational costs are mainly driven by the huge number of scenarios which have to be taken into account to address the questions of grid stability under outages of multiple components.

Quantum computations could present a real game changer to these combinatorial problems due to their natural principles of quantum parallelism and superpositions. Our goal is to identify and develop quantum algorithms suitable for the simulation of power systems to address fundamental questions of grid stability and optimization which cannot be answered by classical computers yet. Therefore we combine our expertise from the energy sector (ICE-1), high-performance computing (JSC) and quantum computing analytics (PGI-12).