High-Performance Computing Based EMT Simulation of Large PV or Hybrid PV Plants

被引:0
|
作者
Debnath, Sunman [1 ]
Choi, Jongchan [1 ]
Hughes, Harry [2 ]
Kurte, Kuldeep [2 ]
Marthi, Phani [1 ]
Hahn, Steven [2 ]
机构
[1] Oak Ridge Natl Lab, Energy Sci & Technol Sci Directorate, Knoxville, TN 37830 USA
[2] Oak Ridge Natl Lab, Comp & Computat Sci Directorate, Oak Ridge, TN USA
来源
2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM | 2023年
关键词
Renewable; EMT; PV; Hybrid PV plant; high-performance computing; HPC;
D O I
10.1109/PESGM52003.2023.10252525
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Faults in the transmission grid have led to reduced power generation from power electronics resources that are typically not connected to the faulted transmission line. In many of the cases, partial loss of power is observed within the power electronics resources like large photovoltaic (PV) power plants. This phenomena is not captured in existing simulation models and/or simulators. High-fidelity switched system electromagnetic transient (EMT) dynamic models of PV power plants can improve the fidelity of models available for accurate analysis of the impact on PV plants during simulation of faults. However, these models are extremely computationally expensive and take a long time to simulate. Long simulation times limit the ability to use these models as larger regions are studied in EMT simulations with more power electronics resources. In this paper, numerical simulation algorithms are combined with high-performance computing techniques and applied to the high-fidelity switched system EMT model of PV plants. Using these techniques, a speed-up of up to 58x is obtained, while preserving the accuracy of the simulation at greater than 98%.
引用
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页数:5
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