An Adaptive Switching Control Strategy under Heavy–Light Load for the Bidirectional LLC Considering Parasitic Capacitance

Yetong Han (), Rui Wang, Yi Zhang, Dazhong Ma, Shaoxv Jiang and Liangwu Wen
Additional contact information
Yetong Han: College of Information Science and Engineering, Northeastern University, Shenyang 110004, China
Rui Wang: College of Information Science and Engineering, Northeastern University, Shenyang 110004, China
Yi Zhang: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
Dazhong Ma: College of Information Science and Engineering, Northeastern University, Shenyang 110004, China
Shaoxv Jiang: College of Information Science and Engineering, Northeastern University, Shenyang 110004, China
Liangwu Wen: College of Information Science and Engineering, Northeastern University, Shenyang 110004, China

Sustainability, 2022, vol. 14, issue 19, 1-16

Abstract: The LLC topology is widely used to link renewable energy and inverters to provide constant voltage in the smart grid. Due to its characteristics, the voltage regulation range under light load conditions is limited, so that the output voltage cannot be maintained constant. The adaptive switching control strategy is proposed in this paper to keep the output constant. Under heavy load conditions, the voltage is kept constant by adjusting the frequency to ensure the accuracy of the control. The phase shift is adjusted to achieve constant voltage, considering the influence of parasitic capacitance on the modeling process for the changing trend of output voltage in light load conditions. The switching point is calculated from the characteristic curve to ensure that the output voltage is stable during mode switching. In addition, there is a new hysteresis control which is robust near the switching point to cope with the instability of the new energy itself and frequent disturbance under light load. Finally, a 400V–36V–1KW prototype is used to verify this control strategy.

Keywords: DC–DC converter; parasitic capacitance; adaptive control; digital control (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/19/11832/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/19/11832/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:19:p:11832-:d:919904

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().