Abstract

This paper focuses on enhancing the energy extraction efficiency of photovoltaic (PV) modules through the use of a straightforward power converter and control algorithm. This research delves into the electrical characteristics of PV modules, explaining the concepts of global maximum power point, and local maximum power points. By integrating maximum power point tracking algorithms and differential power processing technology, an innovative scheme for power equalization and optimization of PV modules is introduced. The scheme is based on a single-switch multi-winding forward-flyback converter. Using the STP-340-72-Vfh-type PV module as a case study, a simulation model is developed with PLECS simulation software. The simulations cover 30 different irradiance scenarios. The findings illustrate the effectiveness of the proposed PV module power optimization system in achieving maximum power output under different irradiance conditions, achieving an average efficiency of 94.61%. This efficiency rate is 13.95% greater than that of existing global maximum power tracking schemes.

Details

Title
Power equalization and optimization of photovoltaic module based on forward-flyback converter
Author
Tang, DaiBin 1 ; Siaw, Fei Lu 2 ; Thio, Tzer Hwai Gilbert 2 

 SEGi University, Centre for Sustainability in Advanced Electrical and Electronics Systems (CSAEES), Faculty of Engineering, Built Environment and Information Technology, Petaling Jaya, Malaysia (GRID:grid.449626.b) (ISNI:0000 0004 1757 860X); Anhui Technical College of Mechanical and Electrical Engineering, School of Electrical Engineering, Wuhu, China (GRID:grid.449626.b) 
 SEGi University, Centre for Sustainability in Advanced Electrical and Electronics Systems (CSAEES), Faculty of Engineering, Built Environment and Information Technology, Petaling Jaya, Malaysia (GRID:grid.449626.b) (ISNI:0000 0004 1757 860X) 
Pages
34
Publication year
2024
Publication date
Dec 2024
Publisher
Springer Nature B.V.
e-ISSN
25208942
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3052946334
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.