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基于数独谜题模式的部分阴影光伏系统功率增强型太阳能光伏阵列配置

Power enhanced solar PV array configuration based on calcudoku puzzle pattern for partial shaded PV system.

作者信息

Aljafari Belqasem, S Devakirubakaran, C Bharatiraja, Balachandran Praveen Kumar, Babu Thanikanti Sudhakar

机构信息

Electrical Engineering Department, College of Engineering, Najran University, Najran, 1001, Saudi Arabia.

Center for Electric Mobility, Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India.

出版信息

Heliyon. 2023 May 6;9(5):e16041. doi: 10.1016/j.heliyon.2023.e16041. eCollection 2023 May.

DOI:10.1016/j.heliyon.2023.e16041
PMID:37215765
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10192835/
Abstract

The power output of solar photovoltaic systems can be affected by environmental factors, such as partial shading. This can lead to a decrease in the power conversion rate of the system. Although existing solutions for this issue are cost-effective and efficient, new solutions could further improve the system's performance by increasing consistency, power generation, and reducing mismatch loss and costs. To address this, a new method for configuring PV arrays was proposed using the calcudoku puzzle pattern. The performance of this new array configuration was evaluated in MATLAB/Simulink® for a 9 × 9 PV array and compared to conventional methods like Series-parallel, Total Cross Tied (TCT), and Sudoku array configurations. The performance was evaluated under eight different shading patterns based on power conversion rate and mismatch losses between the PV rows. The proposed array configuration resulted in 3.9%-13.3% of mismatch losses across the different shading patterns, while other configurations had a minimum of 13.8% to a maximum of 51.9% of mismatch losses. This reduction in mismatch losses directly improved the power conversion rate of the PV array.

摘要

太阳能光伏系统的功率输出会受到环境因素的影响,比如部分遮挡。这可能会导致系统的功率转换率下降。尽管针对这个问题的现有解决方案具有成本效益且效率高,但新的解决方案可以通过提高一致性、发电量以及减少失配损耗和成本来进一步提升系统性能。为了解决这个问题,提出了一种使用数谜拼图模式来配置光伏阵列的新方法。在MATLAB/Simulink®中针对一个9×9的光伏阵列评估了这种新阵列配置的性能,并与串联-并联、全交叉连接(TCT)和数独阵列配置等传统方法进行了比较。基于功率转换率和光伏行之间的失配损耗,在八种不同的遮挡模式下评估了性能。所提出的阵列配置在不同遮挡模式下的失配损耗为3.9%-13.3%,而其他配置的失配损耗最低为13.8%,最高为51.9%。失配损耗的这种降低直接提高了光伏阵列的功率转换率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a230/10192835/b3aca59f6e1a/gr13.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a230/10192835/b3aca59f6e1a/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a230/10192835/4114bcbeb4fc/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a230/10192835/2203e0620d19/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a230/10192835/206aa431bf97/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a230/10192835/e85fccf16c10/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a230/10192835/fdd2503bcda7/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a230/10192835/df5cb61c7f50/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a230/10192835/4765bd2d0d3e/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a230/10192835/30161e5a9b3d/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a230/10192835/536228e0660c/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a230/10192835/fcf48904a79c/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a230/10192835/581e070ca227/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a230/10192835/d08508c81873/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a230/10192835/b3aca59f6e1a/gr13.jpg

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