5 citations · 12 across the 8 of their papers we have counts for
8 papers
QSVT-Based Three-Phase Unbalanced Power Flow
Kamini Shahare, Peng Zhang
This letter introduces QSVT-3PF, a quantum singular value transformation (QSVT) based solver for three-phase unbalanced power flow with embedded single-phase grid-forming inverter…
Embedding Single-Phase Grid-Forming Inverters in Three-Phase Unbalanced Power Flow
Kamini Shahare, Fei Feng, Peng Zhang
This letter introduces Grid-Forming Three-Phase Power Flow (GFM-3PF), an augmented Newton power flow framework for modeling single-phase grid-forming inverters (GFMs) in three-phas…
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…
Enhanced Microgrid Power Flow Incorporating Hierarchical Control
Fei Feng, Peng Zhang
An enhanced microgrid power flow (EMPF) is devised to incorporate hierarchical control effects. The new contributions are threefold: 1) an advanced-hierarchical-control-based Newto…
Enabling Cyberattack-Resilient Load Forecasting through Adversarial Machine Learning
Zefan Tang, Jieying Jiao, Peng Zhang +3
In the face of an increasingly broad cyberattack surface, cyberattack-resilient load forecasting for electric utilities is both more necessary and more challenging than ever. In th…