LAPSE:2023.3204
Published Article
LAPSE:2023.3204
High-Flexibility MPPT Techniques with Communication Scan Network for PV Micro-Grid System
Yu-Kai Chen, Hong-Wen Hsu, Chau-Chung Song, Yu-Syun Chen
February 22, 2023
Abstract
This paper proposes the design and implementation of inductor-inductor-capacitor (LLC) converters with modules connected in series with the power scan method and communication scan network (CSN) to achieve MPPT and regulate the output voltage for the PV micro-grid system. The Dc/Dc converters includes six isolated LLC modules in series to supply ±380 V output voltage and track the maximum power point of the PV system. The series LLC converters are adopted to achieve high efficiency and high flexibility for the PV micro-grid system. The proposed global maximum power scan technique is implemented to achieve global maximum power tracking by adjusting the switching frequency of the LLC converter. To improve the system flexibility and achieve system redundancy, module failure can be detected in real time with a communication scan network, and then the output voltage of other modules will be changed by adjusting the switching frequency to maintain the same voltage as before the failure. Additionally, the proposed communication scan network includes the RS-485 interface of the MPPT series module and the CAN BUS communication interface with other subsystems’ communication for the PV micro-grid application system. Finally, a 6 kW MPPT prototype with a communication scan network is implemented and the proposed control method is verified for the PV system.
Keywords
LLC, micro-grid, MPPT
Suggested Citation
Chen YK, Hsu HW, Song CC, Chen YS. High-Flexibility MPPT Techniques with Communication Scan Network for PV Micro-Grid System. (2023). LAPSE:2023.3204
Author Affiliations
Chen YK: Department of Aeronautical Engineering, National Formosa University, Yunlin 600, Taiwan [ORCID]
Hsu HW: Department of Aeronautical Engineering, National Formosa University, Yunlin 600, Taiwan
Song CC: Department of Aeronautical Engineering, National Formosa University, Yunlin 600, Taiwan
Chen YS: Fego Precision Industrial Co., Ltd., Taichung City 413, Taiwan
Journal Name
Processes
Volume
10
Issue
1
First Page
117
Year
2022
Publication Date
2022-01-07
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr10010117, Publication Type: Journal Article
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LAPSE:2023.3204
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https://doi.org/10.3390/pr10010117
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Feb 22, 2023
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CC BY 4.0
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Feb 22, 2023
 
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