Posts by Collection

Disturbance Propagation in Power Grids With High Converter Penetration

Published in Proceedings of the IEEE, 2022

Analytical studies based on continuum models are presented for the 2-D system with SGs and constant-power GFL converters in order to visualize the disturbance propagation and validate numerical simulations based on differential-algebraic equations.

Recommended citation: H. Cui et al., "Disturbance Propagation in Power Grids With High Converter Penetration," in Proceedings of the IEEE, doi: 10.1109/JPROC.2022.3173813. https://ieeexplore.ieee.org/document/9777891

Virtual Inertia Scheduling for Power Systems with High Penetration of Inverter-based Resources

Published in arXiv, 2022

This paper proposes a new concept called virtual inertia scheduling (VIS) to efficiently handle the high penetration of inverter-based resources (IBRs).

Recommended citation: She, B., Li, F., Cui, H., Wang, J., Zhang, Q., & Bo, R. (2022). Virtual Inertia Scheduling for Power Systems with High Penetration of Inverter-based Resources. arXiv. https://doi.org/10.48550/arXiv.2209.06677 https://arxiv.org/abs/2209.06677

Electricity consumption variation versus economic structure during COVID-19 on metropolitan statistical areas in the US

Published in Nature Communications, 2022

This work shows that the reduction in total EC is related to the shares of certain industries in an MSA, whereas regardless of the incidence level or economic structure, the residential sector shows a trend of increasing EC across the continental U.S..

Recommended citation: Wang, J., Li, F., Cui, H. et al. Electricity consumption variation versus economic structure during COVID-19 on metropolitan statistical areas in the US. Nat Commun 13, 7122 (2022). https://doi.org/10.1038/s41467-022-34447-7 https://www.nature.com/articles/s41467-022-34447-7

DiME and AGVIS A Distributed Messaging Environment and Geographical Visualizer for Large-scale Power System Simulation

Published in arXiv, 2022

This paper introduces Distributed Messaging Environment (DiME) and Another Grid Visualizer (AGVis).

Recommended citation: Parsly, N., Wang, J., West, N., Zhang, Q., Cui, H., & Li, F. (2022). DiME and AGVIS A Distributed Messaging Environment and Geographical Visualizer for Large-scale Power System Simulation. arXiv. https://doi.org/10.48550/arXiv.2211.11990 https://arxiv.org/abs/2211.11990

Strength Training

Published: November 27, 2022

5x5 workout records (lbs):

ECE 522 - Power System Analysis II

Graduate course, University of Tennessee, Knoxville, Department of Electrical Engineering and Computer Science, 2023

Graduate teaching assistant of ECE 522 - Power System Analysis II.