cv

Basics

Name Jinning Wang
Label PhD Student
Email jwang175@vols.utk.edu
Url https://jinningwang.github.io
Summary Currently pursuing a Ph.D. degree in electrical engineering at the University of Tennessee, Knoxville, TN, USA. Research interests include data mining, scientific computation, and power system modeling. Author of the power system scheduling simulator AMS and coordinator for the CURENT Large-scale Testbed development.

Work

  • 2024.5 - 2024.8
    Power System & GIS Engineer
    GridCARE
    Interconnection study, and GIS analysis.
    • GIS Analysis
  • 2020 - Present
    Graduate Research Assistant
    University of Tennessee Knoxville
    Involved in various projects, including the CURENT Large-Scale Testbed, Cyber-Physical Dynamic System Modeling, and research on the economic impact of the COVID-19 pandemic on electricity consumption.
    • Power System Analysis, Software Development, GIS Analysis
  • 2019 - 2020
    Graduate Teaching Assistant
    University of West Florida
    Assisted in teaching duties while pursuing a Master of Science in Data Science.
    • Data Mining

Education

  • 2020 - Present

    Knoxville, USA

    PhD
    University of Tennessee, Knoxville
    Electrical Engineering
  • 2019 - 2020

    Pensacola, USA

    MS
    University of West Florida
    Data Science
  • 2017 - 2020

    Taiyuan, China

    MS
    Taiyuan University of Technology
    Electrical Engineering
  • 2013 - 2017

    Taiyuan, China

    BS
    Taiyuan University of Technology
    Electrical Engineering

Skills

Programming and Data Analysis
Python
Open-source Development
SQL
R
SAS
Spark
Power System Analysis
CURENT LTB
PSS/E
MATLAB

Awards

Publications

  • 2024
    Electric Vehicles Charging Time Constrained Deliverable Provision of Secondary Frequency Regulation
    IEEE Transactions on Smart Grid
    The paper proposes a strategy for using aggregated electric vehicles (EVs) to provide secondary frequency regulation (SFR) in renewable energy systems while respecting EV charging time constraints. It demonstrates that this approach can improve system performance with minimal cost increase, validated through simulations on the IEEE 39-bus system.
  • 2023
    Virtual Inertia Scheduling (VIS) for Real-time Economic Dispatch of IBRs-penetrated Power Systems
    IEEE Transactions on Sustainable Energy
    The paper introduces virtual inertia scheduling (VIS) to manage the increasing penetration of inverter-based resources (IBRs) in power systems. VIS optimizes inertia scheduling and generation dispatch for secure and cost-effective support, validated through simulations on a two-machine system and a modified IEEE 39-bus system.
  • 2022
    Disturbance Propagation in Power Grids With High Converter Penetration
    Proceedings of the IEEE
    The article explores how high penetration of converter-interfaced renewable energy resources affects disturbance propagation in power systems. It shows that increased converter penetration speeds up disturbance propagation due to reduced system inertia, but fast active power control of converters can mitigate this effect, as demonstrated through simulations on various power system models.
  • 2022
    Electricity consumption variation versus economic structure during COVID-19 on Metropolitan Statistical Areas in the US
    Nature Communications
    The paper estimates changes in electricity consumption (EC) at the metropolitan level across the continental U.S. during the initial two months of the COVID-19 pandemic, showing a reduction in total EC linked to industry shares and an increase in residential EC regardless of incidence level or economic structure. These findings can guide responses to future socio-economic crises.

Projects

  • 2021.3 - Present
    CURENT Large-Scale Testbed
    Coordinating the development of the CURENT Large-scale Testbed, developing interoperable scheduling modeling framework.
    • Power System Analysis, Software Development
  • 2020.6 - 2021.3
    Nexus between Economic, Electricity, and Pandemic
    Designing the research, collecting and analyzing data, developing algorithms
    • GIS Analysis, Data Mining
  • 2022.1 - 2022.12
    Cyber-Physical Dynamic System Modeling
    Modeling and validation of electric vehicles for secondary frequency regulation, contributing to AGC services.
    • Power System Analysis

Languages

English
Fluent
Chinese
Native speaker

Interests

Power System Modeling
Electric Vehicles Charging Management
Digital Twin for Large-scale Power Systems
Energy Equity
Data Mining
Electricity Consumption
Social Economic Factors
GIS Analysis
Scientific Computation
High Performance Computing
Parallel Computing

References

Prof. Fangxing 'Fran' Li
Director of CURENT, John W. Fisher Professor at the Dept. of EECS, U of Tennessee Knoxville. Contact: fli6@utk.edu
Adam Wigington
Head of Products, GridCARE Inc. Contact: adam@gridcare.ai
Prof. Hantao Cui
Associate Professor, North Carolina State University. Contact: hcui9@ncsu.edu
Prof. Kevin Tomsovic
Member of USA NAE, Chancellor’s Professor at the Dept. of EECS, U of Tennessee Knoxville. Contact: tomsovic@utk.edu