Modulation Optimization Design of Microinverter Based on SRDAB

In this paper, a novel microinverter for a residential energy storage system is designed based on the series resonant dual-active-bridge (SRDAB), with a full-bridge on the primary side, and a bidirectional half-bridge as well as split resonant capacitor on the secondary side. Meanwhile, the corresponding modulation strategy is also optimized. Firstly, the time-domain analysis method is used to establish a time-domain model. Furthermore, taking the root-mean-square (RMS) of the resonant current as the optimization goal, the modulation strategy of the topology is designed, and constraints for zero-voltage-switching (ZVS) are further added to reduce the switching losses. Finally, the particle swarm optimization (PSO) algorithm is used to solve the numerical solution of the modulation strategy, and its feasibility is verified by simulation and experimental results.

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Publication Details

Published
2024-11-08
DOI
https://doi.org/10.1109/isesc63657.2024.10785462
Citations
1
Primary Topic
Advanced Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.33
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Modulation Optimization Design of Microinverter Based on SRDAB

Xiaohua Wu, Qingling Luo, Ming Chen, Xiangke Li
1 citations
Advanced Algorithms and Applications
0.33
article

Modulation Optimization Design of Microinverter Based on SRDAB

Xiaohua Wu, Qingling Luo, Ming Chen, Xiangke Li
article en
1 citations

Abstract

In this paper, a novel microinverter for a residential energy storage system is designed based on the series resonant dual-active-bridge (SRDAB), with a full-bridge on the primary side, and a bidirectional half-bridge as well as split resonant capacitor on the secondary side. Meanwhile, the corresponding modulation strategy is also optimized. Firstly, the time-domain analysis method is used to establish a time-domain model. Furthermore, taking the root-mean-square (RMS) of the resonant current as the optimization goal, the modulation strategy of the topology is designed, and constraints for zero-voltage-switching (ZVS) are further added to reduce the switching losses. Finally, the particle swarm optimization (PSO) algorithm is used to solve the numerical solution of the modulation strategy, and its feasibility is verified by simulation and experimental results.

Northwestern Polytechnical University (CN)
Affordable and clean energy
Openalex Percentile: Top 38%
Advanced Algorithms and Applications
0.33
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