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Found 8 papers, 0 papers with code
Resilient Communication Scheme for Distributed Decision of InterconnectingNetworks of Microgrids
Networking of microgrids can provide the operational flexibility needed for the increasing number of DERs deployed at the distribution level and supporting end-use demand when there is loss of the bulk power system.
Grid-Forming Inverter-based Wind Turbine Generators: Comprehensive Review, Comparative Analysis, and Recommendations
The control parameters of these GFM types are properly designed and optimized to enable a fair comparison.
Safe Reinforcement Learning for Grid Voltage Control
Under voltage load shedding has been considered as a standard approach to recover the voltage stability of the electric power grid under emergency conditions, yet this scheme usually trips a massive amount of load inefficiently.
Barrier Function-based Safe Reinforcement Learning for Emergency Control of Power Systems
However, this scheme usually trips a massive amount of load which can be unnecessary and harmful to customers.
Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning
We exploit the area-wise division structure of the power system to propose a hierarchical DRL design that can be scaled to the larger grid models.
Coordinated Frequency and Voltage Regulation of Grid-Following and Grid-Forming Inverters
In a purely inverter-based microgrid, both grid-forming (GFM) and grid-following (GFL) inverters will have a crucial role to play in frequency/voltage regulation and maintaining power sharing through their grid support capabilities.
Imposing Robust Structured Control Constraint on Reinforcement Learning of Linear Quadratic Regulator
This paper discusses learning a structured feedback control to obtain sufficient robustness to exogenous inputs for linear dynamic systems with unknown state matrix.
Reinforcement Learning of Structured Control for Linear Systems with Unknown State Matrix
This paper delves into designing stabilizing feedback control gains for continuous linear systems with unknown state matrix, in which the control is subject to a general structural constraint.
