Kai Sun 孙凯

Professor, IEEE Fellow
Department of EECS
University of Tennessee

 

Tel: 865-974-3982
Email: kaisun(at)utk.edu

Address: 523 Min H. Kao Building, 1520 Middle Drive, Knoxville, TN 37996-2250

Useful Resources

  • IEEE PES Task Force on Forced Oscillations

    This taskforce is sponsored by IEEE PES PSDP committee and PSSC subcommittee for 2024-2027.

  • Test Cases Library on Forced/Sustained Power System Oscillations

    This website provides a power system oscillation test cases library including both simulated cases and actual oscillatory events in power systems. The main objective for this library is to facilitate the development and testing of algorithms, methods and tools for identifying the source of poorly damped or forced oscillation in power systems. The website and its library were developed and maintained by ISO New England and University of Tennessee, Knoxville.

  • 2021 IEEE-NASPI Oscillation Source Location Contest

    This webpage hosts data and models used by the 2021 IEEE-NASPI Oscillation Source Location Contest.

Open-source Tools

  • RAPID (Resilient Adaptive Parallel sImulator for griD)

    Developed by Oak Ridge National Laboratory, University of Tennessee, Knoxville and University of Central Florida, RAPID is a U.S. DOE-sponsored open source power system simulator in Python. It incorporates “parallel-in-time” (Parareal) algorithm with Adaptive Model Reduction (AMR) and Semi-Analytical Solution (SAS) based coarse solvers. It has a great potential to utilize many parallel processors to improve the computational performance of time-domain simulation significantly. It aims at “Faster-Than-Real-Time Simulation” for large-scale power systems to predict dynamics under large disturbances. Moreover, co-simulation of integrated transmission and distribution systems is enabled by coupling the power transmission network simulation with open-source distribution system simulators such as OpenDSS.

    Related Publications:
    B. Park, S. Allu, K. Sun, A. Dimitrovski, Y. Liu, S. Simunovic, "Resilient Adaptive Parallel sImulator for griD (RAPID): An Open Source Power System Simulation Toolbox,” IEEE Open Access Journal of Power and Energy , vol. 9, pp. 361-373, August 2022. (link).

    Y. Liu, B. Park, K. Sun, A. Dimitrovski, S. Simunovic, "Parallel-in-Time Power System Simulation Using a Differential Transformation based Adaptive Parareal Method,” IEEE Open Access Journal of Power and Energy, vol. 10, pp. 61-72, November 2022 (link)

  • PowerSAS (Semi-Analyitcal Solution based Power Grid Analysis Toolbox)

    Developed by Argonne National Laboratory and the University of Tennessee, Knoxville, PowerSAS.m is a robust, efficient and scalable power grid analysis framework based on semi-analytical solutions (SAS) technology for MATLAB/Octave users. It provides various functionalities for power grid analysis including steady-state analysis, dynamic analysis and hybrid extended-term analysis. It features high numerical robustness, enhanced computational performance and highly customizable and extensible user interfaces.

    Related Publications:
    J. Liu, R. Yao, F. Qiu, Y. Liu, K. Sun, "PowerSAS.m—An Open-Source Power System Simulation Toolbox Based on Semi-Analytical Solution Technologies,” IEEE Open Access Journal of Power and Energy, vol. 10, pp. 222-232, Feb. 2023 (link).

    R. Yao, K. Sun, F. Liu, S. Mei, "Efficient Simulation of Temperature Evolution of Overhead Transmission Lines Based on Analytical Solution and NWP," IEEE Transactions on Power Delivery, vol. 33, No. 4, pp. 1576-1588, Aug. 2018 ( link).

  • ParaEMT

    ParaEMT is an open source and HPC-compatible large-scale power system electro-magnetic transient (EMT) simulator developed by National Renewable Energy Laboratory. This open-source tool aims to provide a powerful and flexible platform for EMT simulations of large-scale inverter-based resource (IBR)-dominated power systems. The purpose of making it open source is to foster a community of EMT simulation and assist in exploring new EMT algorithms and applying advanced computational techniques to EMT simulation.

    Related Publications:
    M. Xiong, B. Wang, D. Vaidhynathan, J. Maack, M. J. Reynolds, A. Hoke, K. Sun, J. Tan, "ParaEMT: An Open Source, Parallelizable, and HPC-Compatible EMT Simulator for Large-Scale IBR-Rich Power Grids," IEEE Trans. Power Delivery, vol. 39, No. 2, pp. 911-921, April 2024(link).

    M. Xiong, B. Wang, D. Vaidhynathan, J. Maack, M. J. Reynolds, A. Hoke, K. Sun, D. Ramasubramanian, V. Verma, Jin Tan, "An Open-Source Parallel EMT Simulation Framework," Electric Power Systems Research, vol. 235, Oct. 2024 (link).