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Found 7 papers, 0 papers with code
Learning Provably Stable Local Volt/Var Controllers for Efficient Network Operation
We identify the conditions on the surrogates and control parameters to ensure that the locally acting controllers collectively converge, in a global asymptotic sense, to a DN operating point agreeing with the local surrogates.
Learning Local Volt/Var Controllers Towards Efficient Network Operation with Stability Guarantees
This paper considers the problem of voltage regulation in distribution networks.
Time-domain Generalization of Kron Reduction
Kron reduction is a network-reduction method that eliminates nodes with zero current injections from electrical networks operating in sinusoidal steady state.
Integrated System Models for Networks with Generators & Inverters
Synchronous generators and inverter-based resources are complex systems with dynamics that cut across multiple intertwined physical domains and control loops.
Fast Inverter Control by Learning the OPF Mapping using Sensitivity-Informed Gaussian Processes
Adjusting inverter injection setpoints for distributed energy resources can be an effective grid control mechanism.
Learning to Solve the AC-OPF using Sensitivity-Informed Deep Neural Networks
To shift the computational burden from real-time to offline in delay-critical power systems applications, recent works entertain the idea of using a deep neural network (DNN) to predict the solutions of the AC optimal power flow (AC-OPF) once presented load demands.
Ripple-Type Control for Enhancing Resilience of Networked Physical Systems
Distributed control agents have been advocated as an effective means for improving the resiliency of our physical infrastructures under unexpected events.
