A review of safe reinforcement learning methods for modern power systems

T Su, T Wu, J Zhao, A Scaglione, L Xie - arXiv preprint arXiv:2407.00304, 2024 - arxiv.org
Due to the availability of more comprehensive measurement data in modern power systems,
there has been significant interest in developing and applying reinforcement learning (RL) …

Graph Reinforcement Learning for Power Grids: A Comprehensive Survey

M Hassouna, C Holzhüter, P Lytaev, J Thomas… - arXiv preprint arXiv …, 2024 - arxiv.org
The rise of renewable energy and distributed generation requires new approaches to
overcome the limitations of traditional methods. In this context, Graph Neural Networks are …

Review of machine learning techniques for optimal power flow

H Khaloie, M Dolanyi, JF Toubeau… - Available at SSRN …, 2024 - papers.ssrn.com
Abstract The Optimal Power Flow (OPF) problem is the cornerstone of power systems
operations, providing generators' most economical dispatch for power demands by fulfilling …

[HTML][HTML] Surrogate Modeling for Solving OPF: A Review

S Mohammadi, VH Bui, W Su, B Wang - Sustainability, 2024 - mdpi.com
The optimal power flow (OPF) problem, characterized by its inherent complexity and strict
constraints, has traditionally been approached using analytical techniques. OPF enhances …

Constrained reinforcement learning for predictive control in real-time stochastic dynamic optimal power flow

T Wu, A Scaglione, D Arnold - IEEE Transactions on Power …, 2023 - ieeexplore.ieee.org
Deep Reinforcement Learning (DRL) has emerged as a favored approach for resolving
control challenges in power systems. Traditional DRL guides the agent through exploration …

Network-Constrained Reinforcement Learning for Optimal EV Charging Control

T Wu, A Scaglione, AP Surani… - … for Smart Grids …, 2023 - ieeexplore.ieee.org
This paper introduces a comprehensive control model that integrates aggregate electric
vehicle (EV) charging demand with power grid systems operations, capitalizing on the …

End-to-End Reinforcement Learning of Curative Curtailment with Partial Measurement Availability

H Wolf, L Böttcher, S Bouchkati, P Lutat… - arXiv preprint arXiv …, 2024 - arxiv.org
In the course of the energy transition, the expansion of generation and consumption will
change, and many of these technologies, such as PV systems, electric cars and heat pumps …

[PDF][PDF] Learning on graphs from theory to industrial application in power management of distribution grids

H Wolf - publications.rwth-aachen.de
Learning on graphs has strong ties to theoretical computer science, as some algorithms
used for learning are rooted in graph theory. Furthermore, expressivity of learning methods …