Optimizing Grid Resilience: A Capacity Reserve Market for High Impact Low Probability Events

no code implementations • 31 Jan 2024 • Umar T. Salman, Zongjie Wang, Timothy M. Hansen

This paper addresses the challenges of high-impact low-probability (HILP) events by proposing a novel capacity reserve event market for mobile generation assets, aimed at supporting the transmission network during such incidents.

Leveraging Data-Driven Models for Accurate Analysis of Grid-Tied Smart Inverters Dynamics

no code implementations • 3 Oct 2023 • Sunil Subedi, Nischal Guruwacharya, Bidur Poudel, Jesus D. Vasquez-Plaza, Fabio Andrade, Robert Fourney, Hossein Moradi Rekabdarkolaee, Timothy M. Hansen, Reinaldo Tonkoski

While a range of linear and nonlinear model structures and estimation algorithms are at our disposal, it remains imperative to harness creativity and a profound understanding of the physical system to craft data-driven models that align seamlessly with their intended applications.

Fault Detection

Automated Data-Driven Model Extraction and Validation of Inverter Dynamics with Grid Support Function

no code implementations • 28 Jul 2023 • Sunil Subedi, Bidur Poudel, Pooja Aslami, Robert Fourney, Hossein Moradi Rekabdarkolaee, Reinaldo Tonkoski, Timothy M. Hansen

This research focuses on the evolving dynamics of the power grid, where traditional synchronous generators are being replaced by non-synchronous power electronic converter (PEC)-interfaced renewable energy sources.

Model extraction