Power Systems

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Overview

Power systems research examines how to generate, move, and use electricity reliably as grids incorporate renewables, storage, and flexible loads. It combines physical models and optimization with machine learning, including graph neural networks for grid structure, physics-informed models for power flow, and reinforcement learning for control and dispatch. Current work also uses forecasting and data-driven methods for fault detection, cybersecurity, outage response, and coordination between grids and large computing loads. A central challenge is making these tools generalize across changing networks and operating conditions while preserving physical feasibility, safety, and dependable performance in real-time deployment.

Latest papers

CardsList

232 papers20 papers in the last four weeks, down 39% on the four weeks before. 0.1% of all new papers.

  1. Accelerating Reinforcement Learning for Wind Farm Control via Expert Demonstrations

    Apr 13, 2026Marcus Binder Nilsen, Julian Quick, Tuhfe Göçmen +2RL ControlOffline-To-Online RL

    Department of Wind and Energy Systems, Technical University of Denmark, Roskilde, Denmark

  2. Mapping High-Performance Regions in Battery Scheduling across Data Uncertainty, Battery Design, and Planning Horizons

    Apr 12, 2026Jaime de Miguel Rodriguez, Artjom Vargunin, Brigitta Robin Raudne +3Power SystemsDecision-Making under Uncertainty

    Enefit, Estonia · University of Seville, Spain · University of Tartu, Estonia +1

  3. Agentic Application in Power Grid Static Analysis: Automatic Code Generation and Error Correction

    Apr 11, 2026Qinjuan Wang, Shan Yang, Yongli ZhuAgentic Code GenerationLLM-Based Program Synthesis

    Sun Yat-sen University, Guangzhou, China

  4. Multi-agent Reinforcement Learning for Low-Carbon P2P Energy Trading among Self-Interested Microgrids

    Apr 10, 2026Junhao Ren, Honglin Gao, Lan Zhao +3Power SystemsMulti-Agent Reinforcement Learning

    School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore · School of Information Science and Technology, University of Science and Technology of China, Hefei, China · Singapore Institute of Manufacturing Technology, Agency for Science, Technology and Research, Singapore

  5. Bridging Natural Language and Microgrid Dynamics: A Context-Aware Simulator and Dataset

    Apr 7, 2026Tinko Sebastian Bartels, Ruixiang Wu, Xinyu Lu +5Power SystemsDigital Twins

    School of Data Science, The Chinese University of Hong Kong-Shenzhen, Shenzhen, China. · Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, China.

  6. Empowering Power Outage Prediction with Spatially Aware Hybrid Graph Neural Networks and Contrastive Learning

    Apr 6, 2026Xuyang Shen, Zijie Pan, Diego Cerrai +4Power SystemsGraph Neural Networks

    University of Connecticut · Western Connecticut State University · Eversource Energy

  7. Learning Without Adversarial Training: A Physics-Informed Neural Network for Secure Power System State Estimation under False Data Injection Attacks

    Apr 3, 2026Solon Falas, Markos Asprou, Charalambos Konstantinou +1False Data Injection AttacksAdversarial Robustness

    KIOS Center of Excellence, University of Cyprus · CEMSE, King Abdullah University of Science and Technology (KAUST) · Department of Electrical and Computer Engineering, University of Cyprus

  8. Towards Intelligent Energy Security: A Unified Spatio-Temporal and Graph Learning Framework for Scalable Electricity Theft Detection in Smart Grids

    Apr 3, 2026AbdulQoyum A. Olowookere, Usman A. Oguntola, Ebenezer. Leke Odekanle +2Power SystemsAnomaly Detection

    Department of Chemical and Petroleum Engineering, Abiola Ajimobi Technical University, Ibadan, Oyo State, Nigeria. · Department of Computer Science, Abiola Ajimobi Technical University, Ibadan, Oyo State, Nigeria

  9. Structure-Aware Commitment Reduction for Network-Constrained Unit Commitment with Solver-Preserving Guarantees

    Apr 3, 2026Guangwen Wang, Jiaqi Wu, Yang Weng +1Power SystemsMixed-Integer Linear Programming

    School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ · Department of Electrical and Computer Engineering, University of Washington, Seattle, WA

  10. Multi-agent Reinforcement Learning-based Joint Design of Low-Carbon P2P Market and Bidding Strategy in Microgrids

    Apr 3, 2026Junhao Ren, Honglin Gao, Sijie Wang +5Power Systems

    School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore · School of Information Science and Technology, University of Science and Technology of China, Hefei, 230026, China · MOYA Analytics, 051912, Singapore +1

  11. A Comprehensive Framework for Long-Term Resiliency Investment Planning under Extreme Weather Uncertainty for Electric Utilities

    Apr 2, 2026Emma BenjaminsonPower SystemsDecision-Making under Uncertainty

    Boston Consulting Group’s AI Science Institute, Pittsburgh, PA, USA

  12. Physics Informed Reinforcement Learning with Gibbs Priors for Topology Control in Power Grids

    Apr 2, 2026Pantelis Dogoulis, Maxime CordyRL ControlReinforcement Learning

    SerVal, SnT, University of Luxembourg, Luxembourg City, Luxembourg

  13. Real-Time Surrogate Modeling for Fast Transient Prediction in Inverter-Based Microgrids Using CNN and LightGBM

    Mar 31, 2026Osasumwen Cedric Ogiesoba-Eguakun, Kaveh Ashenayi, Suman RathPower SystemsNeural Surrogate Modeling

    Department of Electrical and Computer Engineering, The University of Tulsa, Tulsa, OK 74104, USA

  14. Differentiable Power-Flow Optimization

    Mar 30, 2026Muhammed Öz, Jasmin Hörter, Kaleb Phipps +3Power SystemsDifferentiable Programming

  15. Characterization and forecasting of national-scale solar power ramp events

    Mar 27, 2026Luca Lanzilao, Angela MeyerSolar Power ForecastingPower Systems

    School of Engineering and Computer Science, Bern University of Applied Sciences, Quellgasse 21, Biel, 2501, Bern, Switzerland · Department of Geosciences and Remote Sensing, TU Delft, Stevinweg 1, Delft, 2628 CN, South-Holland, The Netherlands

  16. Topology-Aware Graph Reinforcement Learning for Energy Storage Systems Optimal Dispatch in Distribution Networks

    Mar 27, 2026Shuyi Gao, Stavros Orfanoudakis, Shengren Hou +2Power SystemsRL Control

    Department of Electrical Sustainable Energy, Delft University of Technology, Mekelweg 4, Delft, 2628 CD, The Netherlands · Beijing Energy Quant Ltd., Haidian, Beijing, 53100, China

  17. Knowledge Distillation for Efficient Transformer-Based Reinforcement Learning in Hardware-Constrained Energy Management Systems

    Mar 27, 2026Pascal Henrich, Jonas Sievers, Maximilian Beichter +3Policy DistillationTransformer-Based RL

    Karlsruhe Institute of Technology, Karlsruhe, Germany

  18. AutoB2G: Agentic Simulation and Reinforcement Learning for Spatio-Temporal Grid-Interactive Building Control

    Mar 27, 2026Borui Zhang, Nariman Mahdavi, Subbu Sethuvenkatraman +1LLM Agent OrchestrationPower Systems

    University of New South Wales Sydney, NSW, Australia · CSIRO Newcastle, NSW, Australia

  19. Safe Decentralized Operation of EV Virtual Power Plant with Limited Network Visibility via Multi-Agent Reinforcement Learning

    Mar 24, 2026Chenghao Huang, Jiarong Fan, Weiqing Wang +1Power SystemsDecentralized MARL

    Department of Data Science and AI, Faculty of IT, Monash University, Australia · Monash Energy Institute, Monash University, Australia

  20. BOOST-RPF: Boosted Sequential Trees for Radial Power Flow

    Mar 23, 2026Ehimare Okoyomon, Christoph GoebelPower SystemsSurrogate Modeling

    Professorship of Energy Management Technologies at the Technical University of Munich

  21. Graph-based data-driven discovery of interpretable laws governing corona-induced noise and radio interference for high-voltage transmission lines

    Mar 21, 2026Hao Xu, Yuntian Chen, Chongqing Kang +1Power SystemsSymbolic Regression

    Zhejiang Key Laboratory of Industrial Intelligence and Digital Twin, Eastern Institute of Technology, Ningbo, Zhejiang 315200, China · Department of Electrical Engineering, Tsinghua University, Beijing 100084, P. R. China · Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, Zhejiang 315200, P. R. China +1

  22. Verification and Validation of Physics-Informed Surrogate Component Models for Dynamic Power-System Simulation

    Mar 18, 2026Petros Ellinas, Indrajit Chaudhuri, Johanna Vorwerk +1Surrogate ModelingPower Systems

    Department of Wind and Energy Systems, Technical University of Denmark (DTU), Kgs. Lyngby, Denmark.

  23. A Lightweight, Transferable, and Self-Adaptive Framework for Intelligent DC Arc-Fault Detection in Photovoltaic Systems

    Mar 16, 2026Xiaoke Yang, Long Gao, Haoyu He +5Fault DetectionPower Systems

    EcoFlow Inc, Shenzhen, China. · AAU Energy, Aalborg University, Denmark

  24. Gated Graph Attention Networks for Predicting Duration of Large Scale Power Outages Induced by Natural Disasters

    Mar 14, 2026Chenghao Duan, Chuanyi Ji, Anwar Walid +1Power SystemsGraph Attention Networks

    School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA · Department of Electrical Engineering, Columbia University, New York, NY, USA · School of Business, University of California, Riverside, Riverside, CA, USA

  25. From AI Weather Prediction to Infrastructure Resilience: A Real-Time Correction-Downscaling Framework for Tropical Cyclone Impact Forecasting

    Mar 13, 2026You Wu, Zhenguo Wang, Naiyu WangWeather ForecastingClimate Downscaling

    College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China · State Grid Zhejiang Electric Power Co., LTD. Electric power Research Institute China

  26. Concentrated siting of AI data centers drives regional power-system stress under rising global compute demand

    Mar 13, 2026Danbo Chen, Zijun Zhou, Yongyang Cai +3Power SystemsElectricity Load Forecasting

    The Ohio State University, Columbus, OH 43210, USA. · Meta Platforms Inc., Menlo Park, CA 94025, USA. · Zhejiang A&F University, Hangzhou, Zhejiang 311300, China.

  27. Reinforcement learning-based dynamic cleaning scheduling framework for solar energy system

    Mar 8, 2026Heungjo AnRL ControlPower Systems

    Department of Industrial Engineering, Kumoh National Institute of Technology, Gumi City, South Korea

  28. Topology-Aware Reinforcement Learning over Graphs for Resilient Power Distribution Networks

    Mar 7, 2026Roshni Anna Jacob, Prithvi Poddar, Jaidev Goel +3Power SystemsReinforcement Learning

    The University of Texas at Dallas, Richardson, TX, USA · University at Buffalo, Buffalo, NY, USA · Virginia Tech, Blacksburg, VA, USA

  29. Reinforcement Learning for Power-Flow Network Analysis

    Mar 5, 2026Alperen Ergur, Julia Lindberg, Vinny MillerPower SystemsReinforcement Learning

    The University of Texas at San Antonio, Mathematics and Computer Science Departments · Georgia Tech, Mathematics Department · The University of Texas at San Antonio, Computer Science Department

  30. FaultXformer: A Transformer-Encoder Based Fault Classification and Location Identification model in PMU-Integrated Active Electrical Distribution System

    Feb 27, 2026Kriti Thakur, Alivelu Manga Parimi, Mayukha PalPower System Fault DiagnosisFault Localization

    ABB Ability Innovation Center, Asea Brown Boveri Company, Hyderabad, 500084, Telangana, India · Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani- Hyderabad Campus, Hyderabad, 500078, Telangana, India