Abstract
In recent years, a novel Parareal-based approach has been developed for fast transient simulations of large power system interconnections. Parareal belongs to the class of Parallel-in-time algorithms for solution of systems of differential-algebraic equations in parallel over an interval of time. The selection of a reasonably fast and accurate coarse solution is crucial to improve the performance of Parareal algorithm. Semi-analytical solution methods are one promising approach to achieve this goal. They have been investigated, and some preliminary results are presented here. In addition, Parareal-based simulator has been expanded to enable co-simulation with OpenDSS, a widely used open-source distribution system simulator. Preserving the parallel nature of the Parareal approach and taking advantage of the parallel capabilities of the latest versions of OpenDSS, each distribution system can be solved in their entirety on different processors in parallel within the main Parareal simulator. This paper also presents the structure of the transmission and distribution co-simulation and some results with different dynamic models of inverter-based resources in the distribution systems.
Original language | English |
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Title of host publication | 2020 IEEE International Conference on Power Systems Technology, POWERCON 2020 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728163505 |
DOIs | |
State | Published - Sep 14 2020 |
Event | 2020 IEEE International Conference on Power Systems Technology, POWERCON 2020 - Bangalore, India Duration: Sep 14 2020 → Sep 16 2020 |
Publication series
Name | 2020 IEEE International Conference on Power Systems Technology, POWERCON 2020 |
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Conference
Conference | 2020 IEEE International Conference on Power Systems Technology, POWERCON 2020 |
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Country/Territory | India |
City | Bangalore |
Period | 09/14/20 → 09/16/20 |
Funding
ACKNOWLEDGMENT The project was funded by the U.S. Department of Energy (DOE) Office of Electricity, Advanced Grid Research and Development Division. The authors acknowledge Dr. Ali Ghassemian from the DOE Office of Electricity for his continuing support and guidance.