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On May 5, Center for Global Engagement hosted a listening session to Support the Chinese community. In the session, university members from various backgrounds expressed their concerns and suggesstions. This blog compiled part of comments from university members who participated in the listening session.
In a recent opinion piece published in the UT Daily Beacon, Jinning Wang shared his view on the University of Tennessee’s ban on TikTok.
Having spent years as a PhD student working with software development and website maintenance, I have had the opportunity to explore and experiment with a wide range of tools and technologies. Last updated on Oct. 10, 2023.
As dsicussed in ANDES Discussions #386, the user may run into power flow divergence or TDS initialization error when revising cases file from given cases. In this blog, we will discuss how to fix these errors. The case files and source code can be found at andes_init_debug.
Based on my development experience of ANDES dynamic model, I summarized this guide as a clue for those who want to try ANDES and develop models.
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
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
The 11th Annual Industry Conference took place at the University of Tennessee, Knoxville’s Student Center and Min H. Kao Engineering Building on April 18-19, 2023. During the conference, the LTB team showcased the project’s latest developments and milestones.
Jinning Wang has been invited by Dr. Kevin Tomsovic to give a talk about the usage of LTB in power system analysis for the course ECE 522 - Power Systems Analysis II at the University of Tennessee, Knoxville on May 02, 2023.
DiME and AGVis: Distributed Messaging Environment and Geographical Visualizer for CURENT Large-scale Testbed (LTB)
Jinning Wang presented DiME and AGVis at 2023 NAPS.
Graduate course, University of Tennessee, Knoxville, Department of Electrical Engineering and Computer Science, 2023
Graduate teaching assistant of ECE 522 - Power System Analysis II.