Volume 14, 2023
Special Issue on ‘Recent Advances in Photovoltaics 2022’, edited by Mohamed Amara, Thomas Fix, Jean-Paul Kleider, Judikaël Le Rouzo and Denis Mencaraglia
|Number of page(s)||10|
|Section||Modules and Systems|
|Published online||06 July 2023|
Performance of PV array configurations under dynamic partial shadings
Université Paris-Saclay, CentraleSupélec, CNRS, GeePs, 91192 Gif-Sur-Yvette, France
Received in final form: 2 May 2023
Accepted: 16 May 2023
Published online: 6 July 2023
The partial shading effect (PSE) is responsible for most power losses in a photovoltaic (PV) system. By modifying the interconnections between PV modules, called PV array reconfiguration, it is possible to improve the power output under partial shading conditions (PSCs). Compared to research on static PSCs, the impact of dynamic PSCs on PV arrays is rarely mentioned, although it deserves to be studied. This paper studies the dynamic PSE on four traditional PV configurations and two reconfiguration techniques based on a 5 × 5 PV array. The four traditional PV configurations are Series-Parallel (SP), Bridge-Link, Honey-Comb, and Total-Cross-Tied (TCT). The two reconfiguration techniques are SuDoKu (SDK) representing Physical Array Reconfiguration (PAR) and Electrical Array Reconfiguration (EAR). The dynamic PSCs are simplified to three types based on the varying orientation: horizontal, vertical, and diagonal. Simulations are carried out with Matlab & Simulink. The performance comparison for the four traditional PV array and two reconfiguration techniques is based on daily energy losses. The results show that four traditional PV configurations techniques, in all PSCs' scenarios, EAR has the most stable performance and the lowest energy losses. The energy losses of SP connection are the largest in all PSCs cases. Although their performance varies depending on the partial shading case, Total-Cross-Tied and SudoDKu lead to the lowest energy losses.
Key words: Dynamic partial shading / PV array reconfiguration / energy loss
© C. Shao et al., Published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.