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An open-source parallel EMT simulation framework

delete2024-10-01
delete1
PRE
AI
M
Min Xiong
王斌 (Bin Wang)
D
Deepthi Vaidhynathan
J
Jonathan Maack
M
Matthew Reynolds
A
Andy Hoke
K
Kai Sun
D
Deepak Ramasubramanian
V
Vishal Verma
J
Jin Tan *
DOI:10.1016/j.epsr.2024.110734delete
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摘要

摘要

En 中文
As the integration level of inverter-based resources (IBRs) increases, ensuring the reliable operation of the bulk power systems requires the use of electromagnetic transient (EMT) simulation tools to identify and mitigate system-wide stability risks. Conducting EMT studies for large-scale, IBR-rich grids, however, is challenging due to the inherent computational bottleneck caused by the underlying high-fidelity models and required small time steps. This paper introduces ParaEMT: an open-source, generic EMT simulation framework designed to accelerate simulations by leveraging advanced parallel computational technologies, such as high-performance computers. This paper presents a comprehensive exposition of ParaEMT, covering its modeling library, simulation strategy, framework structure, operational procedures, and auxiliary features, alongside its extensible parallel computational architecture. Notably, ParaEMT is a publicly accessible and modularized framework written in Python, thereby facilitating future development and the integration of new models and algorithms. The accuracy and efficiency of ParaEMT are demonstrated by rigorous validations via multiple case studies.
Keyword:
EMT
Electromagnetic transient simulation
Inverter-based resource
ParaEMT
Parallel computation
Power system dynamics

期刊

Electric Power Systems Research 封面图
Electric Power Systems Research
IF:
4.2
论文数:
1.1W
被引数:
2.2W

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national renewable energy laboratory - usa
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University of Tennessee Knoxville
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united states department of energy (doe)
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University of Tennessee System
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