Navigating the landscape of deep reinforcement learning for power system stability control: A review
The widespread penetration of inverter-based resources has profoundly impacted the
electrical stability of power systems (PSs). Deepening grid integration of photovoltaic and …
electrical stability of power systems (PSs). Deepening grid integration of photovoltaic and …
Reinforcement learning for distributed transient frequency control with stability and safety guarantees
This paper proposes a reinforcement learning-based approach for optimal transient
frequency control in power systems with stability and safety guarantees. Building on …
frequency control in power systems with stability and safety guarantees. Building on …
Structured neural-pi control with end-to-end stability and output tracking guarantees
We study the optimal control of multiple-input and multiple-output dynamical systems via the
design of neural network-based controllers with stability and output tracking guarantees …
design of neural network-based controllers with stability and output tracking guarantees …
Droop coefficient placements for grid-side energy storage considering nodal frequency constraints under large disturbances
The high-voltage cross-regional power injections threaten the power systems under high
renewable penetrations. The system operators should keep the frequency nadirs within …
renewable penetrations. The system operators should keep the frequency nadirs within …
Online Event-Triggered Switching for Frequency Control in Power Grids With Variable Inertia
The increasing integration of renewable energy resources into power grids has led to time-
varying system inertia and consequent degradation in frequency dynamics. A promising …
varying system inertia and consequent degradation in frequency dynamics. A promising …
Bulk Power Systems Emergency Control Based on Machine Learning Algorithms and Phasor Measurement Units Data: A State-of-the-Art Review
Modern electrical power systems are characterized by a high rate of transient processes, the
use of digital monitoring and control systems, and the accumulation of a large amount of …
use of digital monitoring and control systems, and the accumulation of a large amount of …
Leveraging predictions in power system frequency control: an adaptive approach
Ensuring the frequency stability of electric grids with increasing renewable resources is a
key problem in power system operations. In recent years, a number of advanced controllers …
key problem in power system operations. In recent years, a number of advanced controllers …
Structured neural-PI control for networked systems: Stability and steady-state optimality guarantees
We study the control of networked systems with the goal of optimizing both transient and
steady-state performances while providing stability guarantees. Linear proportional-integral …
steady-state performances while providing stability guarantees. Linear proportional-integral …
Stability-Constrained Learning for Frequency Regulation in Power Grids With Variable Inertia
The increasing penetration of converter-based renewable generation has resulted in faster
frequency dynamics, and low and variable inertia. As a result, there is a need for frequency …
frequency dynamics, and low and variable inertia. As a result, there is a need for frequency …
Learning Decentralized Frequency Controllers for Energy Storage Systems
This letter designs decentralized controllers for energy storage systems (ESSs) to provide
active power control for frequency regulation. We propose a novel safety filter design to …
active power control for frequency regulation. We propose a novel safety filter design to …