LAPSE:2023.30162
Published Article
LAPSE:2023.30162
Generalized Behavioral Modelling Methodology of Switch-Diode Cell for Power Loss Prediction in Electromagnetic Transient Simulation
Yanming Xu, Carl Ngai Man Ho, Avishek Ghosh, Dharshana Muthumuni
April 14, 2023
Abstract
Modern wide-bandgap (WBG) devices, such as silicon carbide (SiC) or gallium nitride (GaN) based devices, have emerged and been increasingly used in power electronics (PE) applications due to their superior switching feature. The power losses of these devices become the key of system efficiency improvement, especially for high-frequency applications. In this paper, a generalized behavioral model of a switch-diode cell (SDC) is proposed for power loss estimation in the electromagnetic transient simulation. The proposed model is developed based on the circuit level switching process analysis, which considers the effects of parasitics, the operating temperature, and the interaction of diode and switch. In addition, the transient waveforms of the SDC are simulated by the proposed model using dependent voltage and current sources with passive components. Besides, the approaches of obtaining model parameters from the datasheets are given and the modelling method is applicable to various semiconductors such Si insulated-gate bipolar transistor (IGBT), Si/SiC metal−oxide−semiconductor field-effect transistor (MOSFET), and GaN devices. Further, a multi-dimensional power loss table in a wide range of operating conditions can be obtained with fast speed and reasonable accuracy. The proposed approach is implemented in PSCAD/ Electromagnetic Transients including DC, EMTDC, (v4.6, Winnipeg, MB, Canada) and further verified by the hardware setups including different daughter boards for different devices.
Keywords
model, power loss, semiconductor
Suggested Citation
Xu Y, Ho CNM, Ghosh A, Muthumuni D. Generalized Behavioral Modelling Methodology of Switch-Diode Cell for Power Loss Prediction in Electromagnetic Transient Simulation. (2023). LAPSE:2023.30162
Author Affiliations
Xu Y: Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T5V6, Canada [ORCID]
Ho CNM: Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T5V6, Canada [ORCID]
Ghosh A: Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T5V6, Canada
Muthumuni D: Manitoba Hydro International, Winnipeg, MB R3P1A3, Canada
Journal Name
Energies
Volume
14
Issue
5
First Page
1500
Year
2021
Publication Date
2021-03-09
ISSN
1996-1073
Version Comments
Original Submission
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PII: en14051500, Publication Type: Journal Article
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LAPSE:2023.30162
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https://doi.org/10.3390/en14051500
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