Reinforcement learning for electric power system decision and control: Past considerations and perspectives
In this paper, we review past (including very recent) research considerations in using
reinforcement learning (RL) to solve electric power system decision and control problems …
reinforcement learning (RL) to solve electric power system decision and control problems …
(Deep) reinforcement learning for electric power system control and related problems: A short review and perspectives
M Glavic - Annual Reviews in Control, 2019 - Elsevier
This paper reviews existing works on (deep) reinforcement learning considerations in
electric power system control. The works are reviewed as they relate to electric power …
electric power system control. The works are reviewed as they relate to electric power …
Decentralized control for large-scale nonlinear systems with unknown mismatched interconnections via policy iteration
In this paper, the decentralized control problem is solved based on a policy iteration
algorithm for large-scale nonlinear systems with unknown mismatched interconnections …
algorithm for large-scale nonlinear systems with unknown mismatched interconnections …
Reinforcement learning based real-time wide-area stabilizing control agents to enhance power system stability
R Hadidi, B Jeyasurya - IEEE Transactions on Smart Grid, 2013 - ieeexplore.ieee.org
In this paper, the design of a network of real-time close-loop wide-area decentralized power
system stabilizers (WD-PSSs) is investigated. In this approach, real-time wide-area …
system stabilizers (WD-PSSs) is investigated. In this approach, real-time wide-area …
Deep reinforcement learning for load shedding against short-term voltage instability in large power systems
J Zhang, Y Luo, B Wang, C Lu, J Si… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
We introduce an innovative solution approach to the challenging dynamic load-shedding
problem which directly affects the stability of large power grid. Our proposed deep Q-network …
problem which directly affects the stability of large power grid. Our proposed deep Q-network …
Nonlinear adaptive excitation control for structure preserving power systems
The paper proposes a decentralized excitation controller to improve the stability of large
power systems. Extended Lyapunov-like energy function and equivalent expressions of …
power systems. Extended Lyapunov-like energy function and equivalent expressions of …
Design of adaptive H∞ controller for power system based on prescribed performance
L Chang, Y Jing, Y Liu - ISA transactions, 2020 - Elsevier
The design problem of the adaptive robust prescribed performance controller with external
disturbance is studied for the excitation system of single-machine infinite power system in …
disturbance is studied for the excitation system of single-machine infinite power system in …
Reinforcement learning-tuned robust nonlinear controller for enhanced EV charger control
In response to the escalating impact of the greenhouse effect on Earth's climate, electric
vehicles (EVs) have emerged as a pivotal solution for sustainable transportation. This …
vehicles (EVs) have emerged as a pivotal solution for sustainable transportation. This …
Full-state variables control of a grid-connected pumped storage power plant using non-linear controllers
M Alizadeh Bidgoli, SMT Bathaee - Electric Power Components …, 2015 - Taylor & Francis
In this article, a controller based on a multi-variable sliding mode is provided for pumped
storage with four goals.(1) Full-state variables of the plant, generator, and hydro turbine are …
storage with four goals.(1) Full-state variables of the plant, generator, and hydro turbine are …
Reinforcement learning tuned decentralized synergetic control of power systems
T Ademoye, A Feliachi - Electric Power Systems Research, 2012 - Elsevier
In this paper, decentralized synergetic controllers with varying parameters are developed to
dampen oscillations in electric power systems via the excitation systems of the generators …
dampen oscillations in electric power systems via the excitation systems of the generators …