Jinning Wang is currently pursuing a Ph.D. degree in electrical engineering at the University of Tennessee, Knoxville, TN, USA, advised by Prof. Fangxing Li. His research interests include Data Mining, Power System Modeling, and Renewable Integration.

Interests
  • Data Mining
  • Power System Modeling
  • Renewable Integration
Education
  • PhD in Electrical Engineering, 2020 - Present

    University of Tennessee Knoxville

  • MS in Data Science, 2019 - 2020

    University of West Florida

  • MS in Electrical Engineering, 2017 - 2020

    Taiyuan University of Technology

  • BS in Electrical Engineering, 2013 - 2017

    Taiyuan University of Technology

Projects

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Cyber-Physical Dynamic System (CPDS) Modeling for Frequency Regulation and AGC Services of Distributed Energy Resources
This project proposes a cyber-physical dynamic system (CPDS) model to handle the uncertainty of DERs two-layer communication latency and power dynamics.
Large-scale Testbed
The Large-scale Testbed (LTB) is a tightly integrated, closed-loop platform for rapid prototyping of power systems.
Electricity Consumption Variation versus Economic Structure during COVID-19
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..
Harmonic Coupling Characteristics Analysis of Microgrid AC/DC Converter Based on HSS Modelling
A model of the AC/DC converter based on the harmonic state space (HSS) theory is developed, and the AC/DC harmonic coupling characteristics of the converter have been analyzed in depth.

Publications

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(2022). Electricity consumption variation versus economic structure during COVID-19 on metropolitan statistical areas in the US. Nature Communications.

Cite DOI

(2022). Transmission-Distribution Dynamic Co-simulation of Electric Vehicles Providing Grid Frequency Response. In IEEE Power & Energy Society General Meeting.

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(2022). Virtual Inertia Scheduling for Power Systems with High Penetration of Inverter-based Resources. arXiv.

PDF DOI

(2022). Disturbance Propagation in Power Grids With High Converter Penetration. Proceedings of the IEEE.

Cite DOI

(2022). Profit-Oriented BESS Siting and Sizing in Deregulated Distribution Systems. IEEE Transactions on Smart Grid.

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Experience

 
 
 
 
 
University of Tennessee, Knoxville
Ph.D. Student in Electrical Engineering
University of Tennessee, Knoxville
Jun 2020 – Present Knoxville, Tennessee, United States

Research interests include:

  • Data Mining
  • Power System Modeling
  • Renewable Integration
 
 
 
 
 
University of West Florida
MS in Data Science
University of West Florida
May 2019 – May 2020 Pensacola, Florida, United States

Research interests include:

  • Data Mining
 
 
 
 
 
Taiyuan University of Technology
MS in Electrical Engineering
Taiyuan University of Technology
Sep 2017 – Jul 2020 Taiyuan, Shanxi, China

Research interests include:

  • Converter Modeling
  • Harmonic Analysis
 
 
 
 
 
Taiyuan University of Technology
BS in Electrical Engineering
Taiyuan University of Technology
Jul 2013 – Sep 2017 Taiyuan, Shanxi, China

Contact