1 citations · 1 across the 4 of their papers we have counts for
4 papers
Deep Neural Network-Enhanced Frequency-Constrained Optimal Power Flow with Multi-Governor Dynamics
Fan Jiang, Xingpeng Li, Pascal Van Hentenryck
To ensure frequency security in power systems, both the rate of change of frequency (RoCoF) and the frequency nadir (FN) must be explicitly accounted for in real-time frequency-con…
Frequency-Dynamics-Aware Economic Dispatch with Optimal Grid-Forming Inverter Allocation and Reserved Power Headroom
Fan Jiang, Xingpeng Li
The high penetration of inverter-based resources (IBRs) reduces system inertia, leading to frequency stability concerns, especially during synchronous generator (SG) outages. To ma…
Analysis of Learning-based Offshore Wind Power Prediction Models with Various Feature Combinations
Linhan Fang, Fan Jiang, Ann Mary Toms +1
Accurate wind speed prediction is crucial for designing and selecting sites for offshore wind farms. This paper investigates the effectiveness of various machine learning models in…
A Deep Neural Network-based Frequency Predictor for Frequency-Constrained Optimal Power Flow
Fan Jiang, Xingpeng Li, Pascal Van Hentenryck
Rate of change of frequency (RoCoF) and frequency nadir should be considered in real-time frequency-constrained optimal power flow (FCOPF) to ensure frequency stability of the mode…