Search Results for author:
Found 4 papers, 1 papers with code
Acceleration of Power System Dynamic Simulations using a Deep Equilibrium Layer and Neural ODE Surrogate
The dominant paradigm for power system dynamic simulation is to build system-level simulations by combining physics-based models of individual components.
Small-signal stability in inverter-dominated grids: exploring the role of gains, line dynamics, and operating conditions
In this work we study the small-signal stability characteristics of a power system comprised of inverter and synchronous machine sources, and consider the effect of inverter control gains, transmission line dynamics, and network operating conditions.
Transmission line dynamics on inverter-dominated grids: analysis and simulations
We utilize an open-source modeling platform to perform both small signal stability and dynamic time domain studies of networks containing inverters, machines, and loads.
Towards Distributed Energy Services: Decentralizing Optimal Power Flow with Machine Learning
We consider distribution systems with multiple controllable Distributed Energy Resources (DERs) and present a data-driven approach to learn control policies for each DER to reconstruct and mimic the solution to a centralized OPF problem from solely locally available information.
