Power Grid

Power grids are critical infrastructure facing increasing complexity due to the energy transition and the rise of renewable energy sources. Current research focuses on improving grid operation and resilience through advanced modeling and control techniques, employing graph neural networks, reinforcement learning, and large language models to optimize power flow, predict and mitigate cascading failures, and enhance cybersecurity. These efforts aim to improve grid stability, efficiency, and security, impacting both the scientific understanding of complex systems and the practical operation of power grids worldwide.

Papers

March 18, 2024

Explainable Reinforcement Learning-based Home Energy Management Systems using Differentiable Decision Trees
Gargya Gokhale, Bert Claessens, Chris Develder
Data Driven Power Grid Electricity Consumption Demand Side Differentiable Decision Tree

March 11, 2024

February 5, 2024

PowerGraph: A power grid benchmark dataset for graph neural networks
Anna Varbella, Kenza Amara, Blazhe Gjorgiev, Mennatallah El-Assady, Giovanni Sansavini
Neural Network Graph Drawing Power Grid Power System Power Flow

January 27, 2024

Localization of Dummy Data Injection Attacks in Power Systems Considering Incomplete Topological Information: A Spatio-Temporal Graph Wavelet Convolutional Neural Network Approach
Zhaoyang Qu, Yunchang Dong, Yang Li, Siqi Song, Tao Jiang, Min Li, Qiming Wang, Lei Wang, Xiaoyong Bo, Jiye Zang, Qi Xu
Localization Focus Power Grid Topology Control Attack Attribution Data Injection Attack

January 17, 2024

Blackout Mitigation via Physics-guided RL
Anmol Dwivedi, Santiago Paternain, Ali Tajer
Reinforcement Learning Power Grid Power Flow Safe Autonomous Decision Blackout Mitigation

January 11, 2024

Multi-Agent Based Simulation for Investigating Electric Vehicle Adoption and Its Impacts on Electricity Distribution Grids and CO2 Emissions
Kristoffer Christensen, Zheng Grace Ma, Bo Nørregaard Jørgensen
Multi Agent Power Grid Electric Vehicle Impact Assessment Electric Vehicle Charging CO2 Emission Transportation Carbon Emission Climate Target

January 4, 2024

AERIAL-CORE: AI-Powered Aerial Robots for Inspection and Maintenance of Electrical Power Infrastructures
Anibal Ollero, Alejandro Suarez, Christos Papaioannidis, Ioannis Pitas, Juan M. Marredo, Viet Duong, Emad Ebeid, Vit Kratky, Martin Saska, Chloe Hanoune, Amr Afifi, Antonio Franchi, Charalampos Vourtsis, Dario Floreano, Goran Vasiljevic, Stjepan Bogdan, Alvaro Caballero, Fabio Ruggiero, Vincenzo Lippiello, Carlos Matilla, Giovanni Cioffi, Davide Scaramuzza, Jose R. Martinez-de-Dios, Begona C. Arrue, Carlos Martin, Krzysztof Zurad, Carlos Gaitan, Jacob Rodriguez, Antonio Munoz, Antidio Viguria
Unmanned Aerial Vehicle Aerial Robot Power Grid Visual Inspection Aerial Manipulator Maintenance Required Aerial Video

December 8, 2023

Physics-Informed Convolutional Autoencoder for Cyber Anomaly Detection in Power Distribution Grids
Mehdi Jabbari Zideh, Sarika Khushalani Solanki
Physic Informed Neural Network Power Grid Convolutional Autoencoder Stealthy Attack Cyber Attack Detection

December 7, 2023

A Scalable Network-Aware Multi-Agent Reinforcement Learning Framework for Decentralized Inverter-based Voltage Control
Han Xu, Jialin Zheng, Guannan Qu
Multi Agent Reinforcement Learning Power Grid Multi Agent Actor Critic Voltage Control Based Volt Var Control

November 28, 2023

Dynamic Fault Characteristics Evaluation in Power Grid
Hao Pei, Si Lin, Chuanfu Li, Che Wang, Haoming Chen, Sizhe Li
Fault Detection Power Grid GNN Based

November 23, 2023

Optimal Power Flow in Highly Renewable Power System Based on Attention Neural Networks
Chen Li, Alexander Kies, Kai Zhou, Markus Schlott, Omar El Sayed, Mariia Bilousova, Horst Stoecker
Power Grid Renewable Energy Optimal Power Flow

November 22, 2023

Applying Large Language Models to Power Systems: Potential Security Threats
Jiaqi Ruan, Gaoqi Liang, Huan Zhao, Guolong Liu, Xianzhuo Sun, Jing Qiu, Zhao Xu, Fushuan Wen, Zhao Yang Dong
Large Language Model Power Grid Power System New Threat Security Threat

November 21, 2023

Power grid operational risk assessment using graph neural network surrogates
Yadong Zhang, Pranav M Karve, Sankaran Mahadevan
Graph Drawing Real Power Power Grid Optimal Power Flow Neural Network Surrogate Operational Risk Security Constrained Unit Commitment

November 7, 2023

Operational risk quantification of power grids using graph neural network surrogates of the DC OPF
Yadong Zhang, Pranav M Karve, Sankaran Mahadevan
Graph Drawing Surrogate Model Power Grid Power System Neural Network Surrogate Operational Risk

November 6, 2023

PowerFlowNet: Power Flow Approximation Using Message Passing Graph Neural Networks
Nan Lin, Stavros Orfanoudakis, Nathan Ordonez Cardenas, Juan S. Giraldo, Pedro P. Vergara
Power Grid Power System Message Passing Graph Neural Network Power Flow Power Network

October 29, 2023

Real-World Implementation of Reinforcement Learning Based Energy Coordination for a Cluster of Households
Gargya Gokhale, Niels Tiben, Marie-Sophie Verwee, Manu Lahariya, Bert Claessens, Chris Develder
Power Grid Cluster Structure Energy Management Building Model Residential Household Power Dispatch Real World Implementation

October 25, 2023

Strategizing EV Charging and Renewable Integration in Texas
Mohammad Mohammadi, Jesse Thornburg
Power Grid Electric Vehicle Smart Grid Electric Vehicle Charging Renewable Energy Source

October 4, 2023

Power Grid

Papers

Explainable Reinforcement Learning-based Home Energy Management Systems using Differentiable Decision Trees

Grid Monitoring and Protection with Continuous Point-on-Wave Measurements and Generative AI

A Zero Trust Framework for Realization and Defense Against Generative AI Attacks in Power Grid

PowerGraph: A power grid benchmark dataset for graph neural networks

Localization of Dummy Data Injection Attacks in Power Systems Considering Incomplete Topological Information: A Spatio-Temporal Graph Wavelet Convolutional Neural Network Approach

Blackout Mitigation via Physics-guided RL

Multi-Agent Based Simulation for Investigating Electric Vehicle Adoption and Its Impacts on Electricity Distribution Grids and CO2 Emissions

AERIAL-CORE: AI-Powered Aerial Robots for Inspection and Maintenance of Electrical Power Infrastructures

Physics-Informed Convolutional Autoencoder for Cyber Anomaly Detection in Power Distribution Grids

A Scalable Network-Aware Multi-Agent Reinforcement Learning Framework for Decentralized Inverter-based Voltage Control

Dynamic Fault Characteristics Evaluation in Power Grid

Optimal Power Flow in Highly Renewable Power System Based on Attention Neural Networks

Applying Large Language Models to Power Systems: Potential Security Threats

Power grid operational risk assessment using graph neural network surrogates

Operational risk quantification of power grids using graph neural network surrogates of the DC OPF

PowerFlowNet: Power Flow Approximation Using Message Passing Graph Neural Networks

Real-World Implementation of Reinforcement Learning Based Energy Coordination for a Cluster of Households

Strategizing EV Charging and Renewable Integration in Texas

Dual Conic Proxies for AC Optimal Power Flow

Multi-Agent Reinforcement Learning for Power Grid Topology Optimization