LAPSE:2023.14886v1
Published Article
LAPSE:2023.14886v1
Application of an Improved STSMC Method to the Bidirectional DC−DC Converter in Photovoltaic DC Microgrid
Siyuan Liu, Xiaona Liu, Shaojie Jiang, Zengnan Zhao, Ning Wang, Xiaoyu Liang, Minghui Zhang, Lihua Wang
March 2, 2023
Abstract
In a photovoltaic DC microgrid, the intermittent power supply of the distributed generation and the fluctuation of the load power will cause the instability of the bus voltage. An improved super-twisting sliding mode control method based on the super-twisting algorithm is proposed to solve this problem. In this paper, a bidirectional half-bridge buck−boost converter was selected as the research topic. The proposed control method replaces the sign function with the saturation function to further mitigate the chattering effect. The stability of the proposed control method was proven to be finite-time convergent using the Lyapunov theory control. Compared with PI control, linear sliding mode control, and terminal sliding mode control, the proposed control method reduces the system overshoot by up to 33% and greatly improves the response speed; compared with the traditional super-twisting sliding mode control method, the system overshoot is reduced by 6.8%, and the response speed is increased by 38%. The experimental results show that the proposed control method can reduce the fluctuation range of the bus voltage, shorten the time of bus voltage stability, effectively stabilize the bus voltage of the photovoltaic DC microgrid, and maintain strong robustness.
Keywords
bidirectional half-bridge buck–boost converter, photovoltaic DC microgrid, robustness, super-twisting sliding mode control
Suggested Citation
Liu S, Liu X, Jiang S, Zhao Z, Wang N, Liang X, Zhang M, Wang L. Application of an Improved STSMC Method to the Bidirectional DC−DC Converter in Photovoltaic DC Microgrid. (2023). LAPSE:2023.14886v1
Author Affiliations
Liu S: School of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao 266000, China [ORCID]
Liu X: School of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao 266000, China [ORCID]
Jiang S: School of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao 266000, China
Zhao Z: School of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao 266000, China
Wang N: School of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao 266000, China
Liang X: School of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao 266000, China
Zhang M: School of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao 266000, China
Wang L: School of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao 266000, China [ORCID]
Journal Name
Energies
Volume
15
Issue
5
First Page
1636
Year
2022
Publication Date
2022-02-22
ISSN
1996-1073
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Original Submission
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PII: en15051636, Publication Type: Journal Article
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LAPSE:2023.14886v1
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