A Voltage-Equalization Scheme Based on Differential Power Processing Methodology in Photovoltage System with Fault Tolerance

Wang, Xue ORCID: 0000-0001-8786-7798 (2024) A Voltage-Equalization Scheme Based on Differential Power Processing Methodology in Photovoltage System with Fault Tolerance PhD thesis, University of Liverpool.

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Abstract

Mismatched photovoltaic (PV) power systems due to the shadow effect will result in serious consequences such as reduced output power, the hot spot problem, and low reliability. As one promising architecture to address this issue, the differential power processing (DPP) methodology has been extensively discussed to improve the actual energy yield through the charge redistribution among PV elements such as modules or sub-modules. Conventional DPP methodologies utilizing flyback converters, buck-boost converters, switching-capacitor converters, and switching-inductor converters can eliminate mismatching conditions and improve the output power. However, with the increasing number of PV modules in a string, the disadvantages of the converters above are the increasing number of switches and complex control algorithms, which will increase economic cost and reduce the reliability. The dual active full bridge (DAB) converters can be utilized with high frequency and high power density. It can be utilized in the PV system to detect and isolate the short-circuit fault whereas the DAB is not suitable for the low power-level DPP converter which usually works under 5W-500W. Additionally, since it requires a DAB converter for a PV module, where the number of switches in DPP converters will increase more largely than other converters. In summary, this thesis presented the CWVM which is based on the SRVW. The SRVW is compared with the other two DPP schemes to conduct a comprehensive evaluation of different VEs at the same power level to fully assess their capabilities under different mismatching conditions. Finally, CWVM and RSCC are combined to form a new DPP scheme that can achieve module-level fault tolerance.

Item Type:	Thesis (PhD)
Divisions:	Faculty of Science & Engineering Faculty of Science & Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	21 Jan 2025 11:52
Last Modified:	21 Jan 2025 11:52
DOI:	10.17638/03187976
Supervisors:	Wen, Huiqing Zhou, Jiafeng Liu, Wen
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3187976
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