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Applications of Physics-Informed Neural Networks in Power Systems - A Review

Journal Article · · IEEE Transactions on Power Systems

Not provided.

Research Organization:
Univ. of North Carolina, Charlotte, NC (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
DOE Contract Number:
EE0009337
OSTI ID:
2418785
Journal Information:
IEEE Transactions on Power Systems, Vol. 38, Issue 1; ISSN 0885-8950
Publisher:
IEEE
Country of Publication:
United States
Language:
English

References (91)

Deep Learning for Reactive Power Control of Smart Inverters under Communication Constraints conference November 2020
Two-Stage Volt/Var Control in Active Distribution Networks With Multi-Agent Deep Reinforcement Learning Method journal July 2021
Real-Time Optimal Power Flow: A Lagrangian Based Deep Reinforcement Learning Approach journal July 2020
A Convex Neural Network Solver for DCOPF With Generalization Guarantees journal June 2022
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods journal April 2020
Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow conference October 2021
Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural Networks conference November 2020
Neural networks for power flow: Graph neural solver journal December 2020
Graph Neural Solver for Power Systems conference July 2019
Lifelong Learning for Complementary Generation Control of Interconnected Power Grids With High-Penetration Renewables and EVs journal July 2018
Energy Function Inspired Value Priority Based Global Wide-Area Control of Power Grid journal March 2018
Physics-Guided Deep Neural Networks for Power Flow Analysis journal May 2021
Artificial emotional reinforcement learning for automatic generation control of large‐scale interconnected power grids journal June 2017
Deep Koopman Controller Synthesis for Cyber-Resilient Market-Based Frequency Regulation journal January 2018
Deep Koopman model predictive control for enhancing transient stability in power grids journal June 2020
Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems conference July 2019
An integrated critic-actor neural network for reinforcement learning with application of DERs control in grid frequency regulation journal October 2019
Power Flow Approximation Based on Graph Convolutional Networks conference December 2019
A reduced order model for turbulent flows in the urban environment using machine learning journal January 2019
Deep learning and process understanding for data-driven Earth system science journal February 2019
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles journal May 2021
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems journal November 2022
From DFT to machine learning: recent approaches to materials science–a review journal May 2019
Conditional LSTM-GAN for Melody Generation from Lyrics
  • Yu, Yi; Srivastava, Abhishek; Canales, Simon
  • ACM Transactions on Multimedia Computing, Communications, and Applications, Vol. 17, Issue 1 https://doi.org/10.1145/3424116
journal February 2021
Power Grid Reliability Estimation via Adaptive Importance Sampling journal January 2022
Capturing Power System Dynamics by Physics-Informed Neural Networks and Optimization conference December 2021
A Hybrid-Learning Algorithm for Online Dynamic State Estimation in Multimachine Power Systems journal December 2020
Physics-Informed Neural Networks for Non-linear System Identification for Power System Dynamics conference June 2021
Learning without Data: Physics-Informed Neural Networks for Fast Time-Domain Simulation conference October 2021
Estimate Three-Phase Distribution Line Parameters With Physics-Informed Graphical Learning Method journal September 2022
Physics-guided Deep Learning for Power System State Estimation journal January 2020
Physics-informed Recurrent Neural Networks for The Identification of a Generic Energy Buffer System conference May 2021
Hybrid data‐driven physics model‐based framework for enhanced cyber‐physical smart grid security journal April 2020
Data-Driven Priors for Robust PSSE via Gauss-Newton Unrolled Neural Networks journal March 2022
Real-Time Power System State Estimation and Forecasting via Deep Unrolled Neural Networks journal August 2019
Nonlinear System Identification book January 2013
A paradigm for data-driven predictive modeling using field inversion and machine learning journal January 2016
Rotor Angle Stability Prediction of Power Systems With High Wind Power Penetration Using a Stability Index Vector journal November 2020
Physics-Aware Neural Networks for Distribution System State Estimation journal November 2020
Physics-Informed Deep Neural Network Method for Limited Observability State Estimation
  • Ostrometzky, Jonathan; Berestizshevsky, Konstantin; Bernstein, Andrey
  • Workshop on Autonomous Energy Systems NREL Golden CO 8/19-20/2020 https://doi.org/10.2172/1655434
conference August 2020
Enhancement of Distribution System State Estimation Using Pruned Physics-Aware Neural Networks conference June 2021
Physics-Informed Neural Networks for Power Systems conference August 2020
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations journal February 2019
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles book November 2017
Convex Relaxation of Optimal Power Flow—Part I: Formulations and Equivalence journal March 2014
Fast Decoupled Load Flow journal May 1974
Driven by Data or Derived Through Physics? A Review of Hybrid Physics Guided Machine Learning Techniques With Cyber-Physical System (CPS) Focus journal January 2020
Machine Learning for Molecular Simulation journal April 2020
Physics-Based Convolutional Neural Network for Fault Diagnosis of Rolling Element Bearings journal June 2019
A theory-guided deep-learning formulation and optimization of seismic waveform inversion journal March 2020
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling book January 2020
Static Equivalent of Distribution Grids With High Penetration of PV Systems journal July 2015
A Review of Graph Neural Networks and Their Applications in Power Systems journal January 2022
Data-Driven Power Flow Linearization: A Regression Approach journal May 2019
A Tour of Reinforcement Learning: The View from Continuous Control journal May 2019
Robust mapping rule estimation for power flow analysis in distribution grids conference September 2017
Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications journal January 2021
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations journal January 2020
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning journal May 2022
Modeling System Dynamics with Physics-Informed Neural Networks Based on Lagrangian Mechanics journal January 2020
Data-Driven Economic NMPC Using Reinforcement Learning journal February 2020
Convex Optimization: Algorithms and Complexity journal January 2015
(Deep) Reinforcement learning for electric power system control and related problems: A short review and perspectives journal January 2019
Deep-Reinforcement-Learning-Based Capacity Scheduling for PV-Battery Storage System journal May 2021
State–space modeling for control based on physics-informed neural networks journal May 2021
From AlphaGo to Power System AI: What Engineers Can Learn from Solving the Most Complex Board Game journal March 2018
Deep learning for universal linear embeddings of nonlinear dynamics journal November 2018
The Koopman Operator: Capabilities and Recent Advances conference October 2020
Nonlinear Koopman Modes and Power System Stability Assessment Without Models journal March 2014
Data-Driven Optimal Power Flow: A Physics-Informed Machine Learning Approach journal January 2021
Power grid transient stabilization using Koopman model predictive control journal January 2018
Mastering the game of Go without human knowledge journal October 2017
A Dynamic Mode Decomposition Framework for Global Power System Oscillation Analysis journal November 2015
Inferring Power System Frequency Oscillations using Gaussian Processes conference December 2021
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data journal October 2017
A Unified Online Deep Learning Prediction Model for Small Signal and Transient Stability journal November 2020
Quantum Generative Adversarial Learning journal July 2018
Decentralized state estimation of combined heat and power systems using the asynchronous alternating direction method of multipliers journal August 2019
Solving the Dynamics-Aware Economic Dispatch Problem with the Koopman Operator conference June 2021
A Robust Data-Driven Koopman Kalman Filter for Power Systems Dynamic State Estimation journal November 2018
Deep Generative Graph Learning for Power Grid Synthesis conference September 2021
FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets journal March 2021
Physics-induced graph neural network: An application to wind-farm power estimation journal November 2019
Physics-Informed Learning for High Impedance Faults Detection conference June 2021
AI Feynman: A physics-inspired method for symbolic regression journal April 2020
ImageNet: A large-scale hierarchical image database
  • Deng, Jia; Dong, Wei; Socher, Richard
  • 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops), 2009 IEEE Conference on Computer Vision and Pattern Recognition https://doi.org/10.1109/CVPR.2009.5206848
conference June 2009
Automated reverse engineering of nonlinear dynamical systems journal June 2007
Distilling Free-Form Natural Laws from Experimental Data journal April 2009
Deep Reinforcement Learning Enabled Physical-Model-Free Two-Timescale Voltage Control Method for Active Distribution Systems journal January 2022
Hybrid Imitation Learning for Real-Time Service Restoration in Resilient Distribution Systems journal March 2022
Data-Driven Multi-Agent Deep Reinforcement Learning for Distribution System Decentralized Voltage Control With High Penetration of PVs journal September 2021

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