Parameters Design and Optimization of a High Frequency, Interleaved, Dual-Buck, Bidirectional, Grid-Connected Converter Article Swipe
Yulu Cui
,
Yifeng Wang
,
Xiaoyong Ma
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/electronics8090973
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/electronics8090973
In this paper, a high frequency, interleaved, dual-buck, bidirectional, grid-connected converter topology is proposed. Free from the straight-through and dead-time distortion issues, both higher switching frequency and power density can be achieved. Due to the interleaved technique, the current ripple and stress for inductors and other power devices can be effectively reduced. Moreover, a novel filter parameter design method is proposed. The method is optimized with smaller inductance, higher filtering performance, and better steady-state performance. For one thing, the performance requirements under the two states of inverter and rectifier are comprehensively considered. For another, the relationship between the performance indexes and the filter parameters is analyzed. However, the results show that the relationship between the performance indexes is contradictory. A set of optimization parameters were obtained by setting the priority of the filter performance index. The specific design process of the filter parameters is given in detail. In order to verify the rationality of the parameter design, a 5 kW prototype was built and tested. The total harmonic distortions (THDs) of the grid currents in the among grid-connected inverter, off-connected inverter, and rectifier states under full load were 2.7%, 1.2%, and 4.5%, respectively, and the power density reached 36 W/in3.
Related Topics
Concepts
Inverter
Inductance
Ripple
Inductor
Rectifier (neural networks)
Total harmonic distortion
Control theory (sociology)
Filter (signal processing)
Electronic engineering
Power (physics)
Topology (electrical circuits)
Computer science
Engineering
Electrical engineering
Voltage
Physics
Stochastic neural network
Quantum mechanics
Artificial neural network
Artificial intelligence
Recurrent neural network
Control (management)
Machine learning
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics8090973
- https://www.mdpi.com/2079-9292/8/9/973/pdf?version=1567244630
- OA Status
- gold
- Cited By
- 2
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2971163177
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2971163177Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/electronics8090973Digital Object Identifier
- Title
-
Parameters Design and Optimization of a High Frequency, Interleaved, Dual-Buck, Bidirectional, Grid-Connected ConverterWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-08-31Full publication date if available
- Authors
-
Yulu Cui, Yifeng Wang, Xiaoyong MaList of authors in order
- Landing page
-
https://doi.org/10.3390/electronics8090973Publisher landing page
- PDF URL
-
https://www.mdpi.com/2079-9292/8/9/973/pdf?version=1567244630Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2079-9292/8/9/973/pdf?version=1567244630Direct OA link when available
- Concepts
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Inverter, Inductance, Ripple, Inductor, Rectifier (neural networks), Total harmonic distortion, Control theory (sociology), Filter (signal processing), Electronic engineering, Power (physics), Topology (electrical circuits), Computer science, Engineering, Electrical engineering, Voltage, Physics, Stochastic neural network, Quantum mechanics, Artificial neural network, Artificial intelligence, Recurrent neural network, Control (management), Machine learningTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2Per-year citation counts (last 5 years)
- References (count)
-
24Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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