Junjian Qi (jqi8)

Junjian Qi

Assistant Professor

Charles V. Schaefer, Jr. School of Engineering and Science

Electrical and Computer Engineering

Education

  • PhD (2013) Tsinghua University (Electrical Engineering)
  • BE (2008) Shandong University (Electrical Engineering)

Research

Dr. Junjian Qi's primary research and teaching areas are focused on electric power systems, including cascading failure, microgrid control, cyber-physical security, and synchrophasor. He was the recipient of the NSF CAREER award in 2020. My Google Scholar profile can be found at https://scholar.google.com/citations?user=b2mxBOwAAAAJ&hl=en&oi=ao.

Experience

- Assistant Professor, Stevens Institute of Technology, Aug. 2020-present
- Assistant Professor, University of Central Florida, Aug. 2017-Aug. 2020
- Joint Appointed Argonne Staff, University of Chicago, Dec. 2016-Jul. 2017
- Postdoctoral Appointee, Argonne National Laboratory, Jan. 2015-Jul. 2017
- Research Associate, University of Tennessee, Knoxville, Sept. 2013-Jan. 2015

Institutional Service

  • ECE recruitment and orientation subcommittee in graduate committee Member

Professional Service

  • IET Generation, Transmission & Distribution Associate Editor
  • IEEE Access Associate Editor
  • IET Generation, Transmission & Distribution Guest Editor
  • IEEE ISGT NA poster session Co-chair
  • Technical program committee of IEEE ISGT NA Technical program committee member

Honors and Awards

- Stevens ECE Outstanding Teaching Award,2022
- 2021 Best Paper Award from IEEE Transactions on Power Systems, 2022
- IEEE PES Technical Committee Working Group Recognition Award for Outstanding Technical Report, 2022
- Best Conference Paper in IEEE PES ISGT Asia, 2021
- NSF CAREER Award, 2020
- Argonne Outstanding Postdoctoral Performance Award, 2016
- Best Conference Paper in IEEE Power & Energy Society General Meeting, 2014

Professional Societies

  • IEEE Senior member
  • IEEE Power and Energy Society Member

Grants, Contracts and Funds

- “CAREER: Deciphering Large-Scale Real Outage Data for Cascading Failure Analysis, Prevention, and Intervention,” NSF CAREER Award, 2020-2025.
- “Collaborative Research: Advanced and Highly Integrated Power Conversion Systems for Grid Stability and Resiliency,” NSF EPCN Award, 2021-2024.

Selected Publications

Book

  1. Sun, K.; Hou, Y.; Sun, W.; Qi, J. (2019). Power System Control under Cascading Failures: Understanding, Mitigation, and Restoration.
    https://www.wiley.com/en-us/Power+System+Control+Under+Cascading+Failures%3A+Understanding%2C+Mitigation%2C+and+System+Restoration-p-9781119282020.

Conference Proceeding

  1. Wang, L.; Qi, J. (2022). Optimal decomposition of utility outage sequence for cascading failure interaction estimation. IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) (pp. 1-6). IEEE.
    https://ieeexplore.ieee.org/abstract/document/9810630.
  2. Mohiuddin, S.; Qi, J. (2021). Unified Distributed Control of Grid-Forming and Grid-Feeding Converters in DC Microgrids with Average Voltage Regulation and Current Sharing. 2021 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia) (pp. 1-5). IEEE.
    https://ieeexplore.ieee.org/abstract/document/9715610.
  3. Mohiuddin, S. M.; Qi, J. (2021). Attack Resilient Distributed Control for AC Microgrids with Distributed Robust State Estimation. 2021 IEEE Texas Power and Energy Conference (TPEC) (pp. 1-6). IEEE.
    https://ieeexplore.ieee.org/abstract/document/9384912.
  4. Mohiuddin, S. M.; Qi, J.; Fung, S.; Huang, Y.; Tang, Y. (2021). Deep Learning Based Multi-Label Attack Detection for Distributed Control of AC Microgrids. 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) (pp. 233-238). IEEE.
    https://ieeexplore.ieee.org/abstract/document/9631998.
  5. Mohiuddin, S. M.; Qi, J. (2021). Droop-Free Distributed Control of DC Microgrids with Voltage Profile Guarantees and Relaxed Current Sharing. 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) (pp. 1-6). IEEE.
    https://ieeexplore.ieee.org/abstract/document/9640069.
  6. Khazeiynasab, S. R.; Qi, J. (2021). PMU Measurement Based Generator Parameter Calibration by Black-Box Optimization with A Stochastic Radial Basis Function Surrogate Model. 52nd North American Power Symposium (NAPS). IEEE.
    https://ieeexplore.ieee.org/document/9449684.
  7. Khazeiynasab, S. R.; Qi, J.; Batarseh, I. (2021). Generator parameter estimation by Q-learning based on PMU measurements. 2021 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) (pp. 1-5). IEEE.
    https://ieeexplore.ieee.org/abstract/document/9372221.

Journal Article

  1. Mohiuddin, S.; Qi, J. (2022). Optimal distributed control of AC microgrids with coordinated voltage regulation and reactive power sharing. IEEE Transactions on Smart Grid (3 ed., vol. 13, pp. 1789-1800). IEEE.
    https://ieeexplore.ieee.org/abstract/document/9695994.
  2. Chen, Y.; Wu, C.; Qi, J. (2022). Data-Driven Power Flow Method Based on Exact Linear Regression Equations. Journal of Modern Power Systems and Clean Energy (3 ed., vol. 10, pp. 800-804).
    https://ieeexplore.ieee.org/abstract/document/9447250.
  3. Liu, H.; Xie, H.; Luo, H.; Qi, J.; Goh, H. H.; Rahman, S. (2021). Optimal Strategy for Participation of Commercial HVAC Systems in Frequency Regulation. IEEE Internet of Things Journal (23 ed., vol. 8, pp. 17100-17110). IEEE.
    https://ieeexplore.ieee.org/abstract/document/9419045.
  4. Wang, L.; Qi, J.; Hu, B.; Xie, K. (2021). A coupled interaction model for simulation and mitigation of interdependent cascading outages. IEEE Transactions on Power Systems (5 ed., vol. 36, pp. 4331-4342). IEEE.
    https://ieeexplore.ieee.org/abstract/document/9354029.
  5. Guo, Z.; Afifah, F.; Qi, J.; Baghali, S. (2021). A stochastic multi-agent optimization framework for interdependent transportation and power system analyses. IEEE Transactions on Transportation Electrification (3 ed., vol. 7, pp. 1088-1098). IEEE.
    https://ieeexplore.ieee.org/abstract/document/9319750.
  6. Li, P.; Wei, Y.; Qi, J.; Bai, X.; Wei, H. (2021). A closed-form formulation of eigenvalue sensitivity based on matrix calculus for small-signal stability analysis in power system. Journal of Modern Power Systems and Clean Energy (6 ed., vol. 9, pp. 1436-1445).
    https://ieeexplore.ieee.org/abstract/document/9282059.
  7. Khazeiynasab, S. R.; Qi, J. (2021). Resilience analysis and cascading failure modeling of power systems under extreme temperatures. Journal of Modern Power Systems and Clean Energy (6 ed., vol. 9, pp. 1446-1457).
    https://ieeexplore.ieee.org/document/9627860.
  8. Li, P.; Huang, X.; Qi, J.; Wei, H.; Bai, X. (2021). A Connectivity Constrained MILP Model for Optimal Transmission Switching. IEEE Transactions on Power Systems (5 ed., vol. 36, pp. 4820-4823). IEEE.
    https://ieeexplore.ieee.org/abstract/document/9454301.
  9. Khazeiynasab, S. R.; Qi, J. (2021). Generator Parameter Calibration by Adaptive Approximate Bayesian Computation With Sequential Monte Carlo Sampler. IEEE Transactions on Smart Grid (5 ed., vol. 12, pp. 4327-4338).
    https://ieeexplore.ieee.org/abstract/document/9424191.
  10. Zhao, X.; Wei, H.; Qi, J.; Li, P.; Bai, X. (2021). Frequency stability constrained optimal power flow incorporating differential algebraic equations of governor dynamics. IEEE Transactions on Power Systems (3 ed., vol. 36, pp. 1666-1676). IEEE.
    https://ieeexplore.ieee.org/abstract/document/9201188.
  11. Qi, J. (2021). Utility outage data driven interaction networks for cascading failure analysis and mitigation. IEEE Transactions on Power Systems (2 ed., vol. 36, pp. 1409-1418). IEEE.
    https://ieeexplore.ieee.org/abstract/document/9163395.

Technical Report

  1. Zhao, J.; Singh, A. K.; Mir, A. S.; Taha, A.; Abur, A.; Gomez-Exposito, A.; Meliopoulos, A. S.; Pal, B.; Kamwa, I.; Qi, J.; Mili, L.; Ariff, M.; Netto, M.; Glavic, M.; Yu, S.; Wang, S.; Bi, T.; Cutsem, T. V.; Terzija, V.; Liu, Y.; Huang, Z. (2021). Power System Dynamic State and Parameter Estimation-Transition to Power Electronics-Dominated Clean Energy Systems. IEEE Power and Energy Society Resource Center.
    https://resourcecenter.ieee-pes.org/publications/technical-reports/PES_TP_TR88_PSOPE_070921.html.

Courses

- EE 589 Introduction to Power Engineering
- EE 590 Smart Grid