8 citations · 17 across the 10 of their papers we have counts for
10 papers
Physics-Informed AI Inverter
Qing Shen, Yifan Zhou, Peng Zhang +3
This letter devises an AI-Inverter that pilots the use of a physics-informed neural network (PINN) to enable AI-based electromagnetic transient simulations (EMT) of grid-forming in…
Software-Defined Virtual Synchronous Condenser
Zimin Jiang, Peng Zhang, Yifan Zhou +6
Synchronous condensers (SCs) play important roles in integrating wind energy into relatively weak power grids. However, the design of SCs usually depends on specific application re…
Physics-Informed Induction Machine Modelling
Qing Shen, Yifan Zhou, Peng Zhang
This rapid communication devises a Neural Induction Machine (NeuIM) model, which pilots the use of physics-informed machine learning to enable AI-based electromagnetic transient si…
Physics-Aware Neural Dynamic Equivalence of Power Systems
Qing Shen, Yifan Zhou, Qiang Zhang +3
This letter devises Neural Dynamic Equivalence (NeuDyE), which explores physics-aware machine learning and neural-ordinary-differential-equations (ODE-Net) to discover a dynamic eq…
Scalable Neural Dynamic Equivalence for Power Systems
Qing Shen, Yifan Zhou, Huanfeng Zhao +4
Traditional grid analytics are model-based, relying strongly on accurate models of power systems, especially the dynamic models of generators, controllers, loads and other dynamic…
Noise-Resilient Quantum Power Flow
Fei Feng, Yifan Zhou, Peng Zhang
Quantum power flow (QPF) provides inspiring directions for tackling power flow's computational burdens leveraging quantum computing. However, existing QPF methods are mainly based…
Neuro-Dynamic State Estimation for Networked Microgrids
Fei Feng, Yifan Zhou, Peng Zhang
We devise neuro-dynamic state estimation (Neuro-DSE), a learning-based dynamic state estimation (DSE) algorithm for networked microgrids (NMs) under unknown subsystems. Our contrib…
Noise-Resilient Quantum Machine Learning for Stability Assessment of Power Systems
Yifan Zhou, Peng Zhang
Transient stability assessment (TSA) is a cornerstone for resilient operations of today's interconnected power grids. This paper is a confluence of quantum computing, data science…
Quantum Power Flow
Fei Feng, Yifan Zhou, Peng Zhang
This letter is a proof of concept for quantum power flow (QPF) algorithms which underpin various unprecedentedly efficient power system analytics exploiting quantum computing. Our…
Neuro-Reachability of Networked Microgrids
Yifan Zhou, Peng Zhang
A neural ordinary differential equations network (ODE-Net)-enabled reachability method (Neuro-Reachability) is devised for the dynamic verification of networked microgrids (NMs) wi…