5 citations · 6 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
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…