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Performance characteristics of a cascaded two-level converter
Abstract
A cascaded two-level power converter is proposed which utilizes two six-transistor inverters and is capable of producing voltages which are identical to those of three-level and four-level converters. Since the machine voltages are the same, the converter performance is the same as is verified through laboratory tests. The advantages and disadvantages of the proposed cascaded converter are explored. The proposed converter is simpler to construct and offers more nonredundant switching states per number of active semiconductors than standard multi-level converters.
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Cited by
Incorporating battery energy storage systems into multi-MW grid connected PV systems
Rallabandi, V., Akeyo, O. M., Jewell, N., & Ionel, D. M. (2019) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2018.2864696 · Cited by 115
Power flow control scheme for multiport power electronics transformers
Zhang, H., Jing, L., Wu, X., Jiang, J., Wickramasinghe, H. R., & Konstantinou, G. (2018) · High Voltage · doi:10.1049/hve.2018.5034 · Cited by 8
Metadata
- Authors
- Corzine, K. A., Sudhoff, S. D., & Whitcomb, C. A.
- Venue
- IEEE Transactions on Energy Conversion
- Published
- 1999
- Volume
- 14
- Issue
- 3
- Pages
- 433-439
- ISSN
- 0885-8969 (ISSN-L)
- OpenAlex
- W2038404973
- Cited by
- 233
- References
- 0
- FWCI
- 3.11
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Performance characteristics of a cascaded two-level converter. https://app.cochat.ai/papers/10.1109/60.790893
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- Corzine, K. A., Sudhoff, S. D., & Whitcomb, C. A. (1999). Performance characteristics of a cascaded two-level converter. IEEE Transactions on Energy Conversion. https://doi.org/10.1109/60.790893
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
