LAPSE:2023.31267
Published Article
LAPSE:2023.31267
Component-Oriented Modeling Method for Real-Time Simulation of Power Systems
Zhao Jin, Jie Zhang, Shuyuan Wang, Bingda Zhang
April 18, 2023
This paper proposes a component-oriented modeling method for power system simulation, which optimizes the modeling process of the FPGA-based real-time digital simulator (FRTDS) to enhance its computational efficiency. In this paper, a component modeling method for various types of elements in the power system is presented, which makes the modeling process in FRTDS more user-friendly and highly scalable. By applying the concepts of combination and reconstruction of components to electrical components, the component-oriented modeling method becomes better suited for combined elements with fixed connection modes and elements that require online model replacement in the power system. Utilizing the characteristics of component-oriented modeling, the variable declaration structure and node elimination strategy in the simulation script are optimized, enabling the simulation script to fit better with the hardware structure of FRTDS. Additionally, a substation is simulated in FRTDS with a simulation step size of 50 µs, thus verifying the correctness of the component-oriented modeling method and its ability to improve the computational power of FRTDS.
Keywords
component-oriented, node elimination strategy, real-time simulation, reconstruction technology, simulation modeling
Suggested Citation
Jin Z, Zhang J, Wang S, Zhang B. Component-Oriented Modeling Method for Real-Time Simulation of Power Systems. (2023). LAPSE:2023.31267
Author Affiliations
Jin Z: The Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China [ORCID]
Zhang J: NR Electric Co., Ltd., Nanjing 211102, China
Wang S: The Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
Zhang B: The Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
Journal Name
Energies
Volume
16
Issue
6
First Page
2731
Year
2023
Publication Date
2023-03-15
Published Version
ISSN
1996-1073
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Original Submission
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PII: en16062731, Publication Type: Journal Article
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LAPSE:2023.31267
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doi:10.3390/en16062731
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Apr 18, 2023
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