Navigating the landscape of deep reinforcement learning for power system stability control: A review

MS Massaoudi, H Abu-Rub, A Ghrayeb - IEEE Access, 2023 - ieeexplore.ieee.org
The widespread penetration of inverter-based resources has profoundly impacted the
electrical stability of power systems (PSs). Deepening grid integration of photovoltaic and …

Reinforcement learning for distributed transient frequency control with stability and safety guarantees

Z Yuan, C Zhao, J Cortés - Systems & Control Letters, 2024 - Elsevier
This paper proposes a reinforcement learning-based approach for optimal transient
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

W Cui, Y Jiang, B Zhang, Y Shi - Advances in Neural …, 2024 - proceedings.neurips.cc
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 …

Droop coefficient placements for grid-side energy storage considering nodal frequency constraints under large disturbances

J Zhang, J Wang, N Zhang, P Wang, Y Wang, C Fang - Applied Energy, 2024 - Elsevier
The high-voltage cross-regional power injections threaten the power systems under high
renewable penetrations. The system operators should keep the frequency nadirs within …

Online Event-Triggered Switching for Frequency Control in Power Grids With Variable Inertia

J Feng, W Cui, J Cortés, Y Shi - IEEE Transactions on Power …, 2025 - ieeexplore.ieee.org
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 …

Bulk Power Systems Emergency Control Based on Machine Learning Algorithms and Phasor Measurement Units Data: A State-of-the-Art Review

M Senyuk, S Beryozkina, M Safaraliev, A Pazderin… - Energies, 2024 - mdpi.com
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 …

Leveraging predictions in power system frequency control: an adaptive approach

W Cui, G Shi, Y Shi, B Zhang - 2023 62nd IEEE Conference on …, 2023 - ieeexplore.ieee.org
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 …

Structured neural-PI control for networked systems: Stability and steady-state optimality guarantees

W Cui, Y Jiang, B Zhang, Y Shi - arxiv preprint arxiv:2206.00261, 2022 - arxiv.org
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 …

Stability-Constrained Learning for Frequency Regulation in Power Grids With Variable Inertia

J Feng, M Muralidharan… - IEEE Control …, 2024 - ieeexplore.ieee.org
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 …

Learning Decentralized Frequency Controllers for Energy Storage Systems

Z Sun, Z Yuan, C Zhao, J Cortés - IEEE Control Systems Letters, 2023 - ieeexplore.ieee.org
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 …