A multivariate reconfiguration method for rooftop PV array based on improved northern goshawk optimization algorithm
Abstract Photovoltaic (PV) power has become a crucial solution to the escalating energy crisis. Among the various implementations, Rooftop PV power generation systems (RPVPGS) are predominant in PV buildings. However, RPVPGS will face challenges such as reduced output power due to array fault or sha...
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Online Access: | http://dx.doi.org/10.1088/1402-4896/ad2a2b https://iopscience.iop.org/article/10.1088/1402-4896/ad2a2b https://iopscience.iop.org/article/10.1088/1402-4896/ad2a2b/pdf |
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crioppubl:10.1088/1402-4896/ad2a2b 2024-09-15T18:25:45+00:00 A multivariate reconfiguration method for rooftop PV array based on improved northern goshawk optimization algorithm Yi, Lingzhi Cheng, Siyue Wang, Yahui Hu, Yao Ma, Hao Luo, Bote Natural Science Zhuzhou United Foundation National Natural Science Foundation of China 2024 http://dx.doi.org/10.1088/1402-4896/ad2a2b https://iopscience.iop.org/article/10.1088/1402-4896/ad2a2b https://iopscience.iop.org/article/10.1088/1402-4896/ad2a2b/pdf unknown IOP Publishing https://iopscience.iop.org/page/copyright https://iopscience.iop.org/info/page/text-and-data-mining Physica Scripta volume 99, issue 3, page 035537 ISSN 0031-8949 1402-4896 journal-article 2024 crioppubl https://doi.org/10.1088/1402-4896/ad2a2b 2024-08-12T04:14:34Z Abstract Photovoltaic (PV) power has become a crucial solution to the escalating energy crisis. Among the various implementations, Rooftop PV power generation systems (RPVPGS) are predominant in PV buildings. However, RPVPGS will face challenges such as reduced output power due to array fault or shading, leading to fluctuations in Building-Integrated PV (BIPV) power generation. This paper attempts to solve this problem by proposing a novel multivariate reconfiguration method based on the improved northern goshawk optimization algorithm (INGO). The aim is to find the optimal state of RPVPGS under various conditions. In this paper, extensive simulations were conducted on the experimental platform to assess the feasibility and effectiveness of the proposed method. It is worth noting that INGO outperforms existing technologies such as Arrow SoDuku and Zig-zag for the evaluation metrics mentioned in the article. Furthermore, rigorous simulation experiments were conducted on the semi-physical platform to validate the proposed approach. The power enhancement percentage deviation was between +0.1% to +0.2%. These results unequivocally demonstrate that the INGO-based multivariate reconfiguration method accurately reconfigures RPVPGS, ensuring the efficiency and stability of BIPV systems. Article in Journal/Newspaper Northern Goshawk IOP Publishing Physica Scripta 99 3 035537 |
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Abstract Photovoltaic (PV) power has become a crucial solution to the escalating energy crisis. Among the various implementations, Rooftop PV power generation systems (RPVPGS) are predominant in PV buildings. However, RPVPGS will face challenges such as reduced output power due to array fault or shading, leading to fluctuations in Building-Integrated PV (BIPV) power generation. This paper attempts to solve this problem by proposing a novel multivariate reconfiguration method based on the improved northern goshawk optimization algorithm (INGO). The aim is to find the optimal state of RPVPGS under various conditions. In this paper, extensive simulations were conducted on the experimental platform to assess the feasibility and effectiveness of the proposed method. It is worth noting that INGO outperforms existing technologies such as Arrow SoDuku and Zig-zag for the evaluation metrics mentioned in the article. Furthermore, rigorous simulation experiments were conducted on the semi-physical platform to validate the proposed approach. The power enhancement percentage deviation was between +0.1% to +0.2%. These results unequivocally demonstrate that the INGO-based multivariate reconfiguration method accurately reconfigures RPVPGS, ensuring the efficiency and stability of BIPV systems. |
author2 |
Natural Science Zhuzhou United Foundation National Natural Science Foundation of China |
format |
Article in Journal/Newspaper |
author |
Yi, Lingzhi Cheng, Siyue Wang, Yahui Hu, Yao Ma, Hao Luo, Bote |
spellingShingle |
Yi, Lingzhi Cheng, Siyue Wang, Yahui Hu, Yao Ma, Hao Luo, Bote A multivariate reconfiguration method for rooftop PV array based on improved northern goshawk optimization algorithm |
author_facet |
Yi, Lingzhi Cheng, Siyue Wang, Yahui Hu, Yao Ma, Hao Luo, Bote |
author_sort |
Yi, Lingzhi |
title |
A multivariate reconfiguration method for rooftop PV array based on improved northern goshawk optimization algorithm |
title_short |
A multivariate reconfiguration method for rooftop PV array based on improved northern goshawk optimization algorithm |
title_full |
A multivariate reconfiguration method for rooftop PV array based on improved northern goshawk optimization algorithm |
title_fullStr |
A multivariate reconfiguration method for rooftop PV array based on improved northern goshawk optimization algorithm |
title_full_unstemmed |
A multivariate reconfiguration method for rooftop PV array based on improved northern goshawk optimization algorithm |
title_sort |
multivariate reconfiguration method for rooftop pv array based on improved northern goshawk optimization algorithm |
publisher |
IOP Publishing |
publishDate |
2024 |
url |
http://dx.doi.org/10.1088/1402-4896/ad2a2b https://iopscience.iop.org/article/10.1088/1402-4896/ad2a2b https://iopscience.iop.org/article/10.1088/1402-4896/ad2a2b/pdf |
genre |
Northern Goshawk |
genre_facet |
Northern Goshawk |
op_source |
Physica Scripta volume 99, issue 3, page 035537 ISSN 0031-8949 1402-4896 |
op_rights |
https://iopscience.iop.org/page/copyright https://iopscience.iop.org/info/page/text-and-data-mining |
op_doi |
https://doi.org/10.1088/1402-4896/ad2a2b |
container_title |
Physica Scripta |
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99 |
container_issue |
3 |
container_start_page |
035537 |
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1810466227713212416 |