9 papers
Data-Driven Predictive Control for Wide-Area Power Oscillation Damping
Giacomo Mastroddi, Jan Poland, Mats Larsson +1
We study damping of inter-area oscillations in transmission grids using voltage-source-converter-based high-voltage direct-current (VSC-HVDC) links. Conventional power oscillation…
Model-Free Power System Stability Enhancement with Dissipativity-Based Neural Control
Yifei Wang, Han Wang, Kehao Zhuang +2
The integration of converter-interfaced generation introduces new transient stability challenges to modern power systems. Classical Lyapunov- and scalable passivity-based approache…
The Bias of Subspace-based Data-Driven Predictive Control
Keith Moffat, Florian Dörfler, Alessandro Chiuso
This paper quantifies and addresses the bias of subspace-based Data-Driven Predictive Control (DDPC) for linear, time-invariant (LTI) systems. The primary focus is the bias that ar…
Grid-Connected, Data-Driven Inverter Control, Theory to Hardware
Sebastian Graf, Keith Moffat, Anurag Mohapatra +2
Grid-connected inverter control is challenging to implement due to the difficulty of obtaining and maintaining an accurate grid model. Direct Data-Driven Predictive Control provide…
Recursive-ARX for Grid-Edge Fault Detection
Soufiane El Yaagoubi, Keith Moffat, Eduardo Prieto Araujo +1
Future electrical grids will require new ways to identify faults as inverters are not capable of supplying large fault currents to support existing fault detection methods and beca…
A Data-driven Predictive Control Architecture for Train Thermal Energy Management
Ahmed Aboudonia, Johannes Estermann, Keith Moffat +2
We aim to improve the energy efficiency of train climate control architectures, with a focus on a specific class of regional trains operating throughout Switzerland, especially in…