At the Energy Information Networks & Systems (EINS), we leverage computational methods to study energy system design, operation, and automation. The transition to lower inertia and distributed power generation marks a fundamental shift in power grid operation. In this evolving landscape, gaining deeper insights into dynamical stability is more critical than ever. By modeling the transmission grid as a network of coupled oscillators, we can investigate phase angle dynamics and the mechanisms that lead to asynchronous operation.

This research project focuses on understanding how heterogeneity in system parameters—such as inertia, power line reactance, and frequency droop—affects system responses to perturbations.

In close collaboration with our researchers, the student will utilize and refine an existing Python-based simulation framework. The research stay will culminate in a presentation of findings to institute members.