Kai Sun 孙凯
Professor, IEEE Fellow
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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:
Resilient Adaptive Parallel sImulator for griD (RAPID): An Open Source Power System Simulation Toolbox.
Parallel-in-Time Power System Simulation Using a Differential Transformation based Adaptive Parareal Method.
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:
PowerSAS.m—An Open-Source Power System Simulation Toolbox Based on Semi-Analytical Solution Technologies.
Efficient and Robust Dynamic Simulation of Power Systems with Holomorphic Embedding.
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.
This webpage hosts data and models used by the 2021 IEEE-NASPI Oscillation Source Location Contest.