Identification of Partial Shading Conditions for Photovoltaic Strings
Under partial shading conditions (PSC), the power-voltage (P-V) characteristic curve of photovoltaic (PV) strings exhibits multiple peaks. Such mismatching phenomenon brings challenges in controlling the output power. To analyze the electrical characteristics of PV strings in complex environments, a...
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Format: | Article |
Language: | English |
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IEEE
2020-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/9068261/ |
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author | Ziqiang Bi Jieming Ma Kangshi Wang Ka Lok Man Jeremy S. Smith Yong Yue |
author_facet | Ziqiang Bi Jieming Ma Kangshi Wang Ka Lok Man Jeremy S. Smith Yong Yue |
author_sort | Ziqiang Bi |
collection | DOAJ |
description | Under partial shading conditions (PSC), the power-voltage (P-V) characteristic curve of photovoltaic (PV) strings exhibits multiple peaks. Such mismatching phenomenon brings challenges in controlling the output power. To analyze the electrical characteristics of PV strings in complex environments, a quantitative analysis method is required to characterize the PSC. This paper introduces the shading matrix to describe the shading rate and shading strength information. The proposed shading matrix would provide maximum power point tracking (MPPT) controllers with the essential environmental information to improve the global maximum power point (GMPP) tracking performance. A modified Tabu search (MTS) based identification method is proposed to estimate the shading matrix. The proposed modified method involves a preselection process of updating the Tabu list to optimize the searching efficiency. The accuracy and efficiency of the proposed analytical estimation expression are validated through simulations and experiments. By comparing with binary search (BS), golden-section search (GS) and Tabu search (TS) algorithms, the proposed MTS algorithm is demonstrated to perceive the shading information at least 18.75% faster. |
first_indexed | 2024-12-16T18:53:25Z |
format | Article |
id | doaj.art-a6a7feae21ab442dbf5e50b9f9f89e3b |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-16T18:53:25Z |
publishDate | 2020-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-a6a7feae21ab442dbf5e50b9f9f89e3b2022-12-21T22:20:36ZengIEEEIEEE Access2169-35362020-01-018754917550210.1109/ACCESS.2020.29880179068261Identification of Partial Shading Conditions for Photovoltaic StringsZiqiang Bi0https://orcid.org/0000-0003-0852-0863Jieming Ma1https://orcid.org/0000-0002-3132-1718Kangshi Wang2Ka Lok Man3Jeremy S. Smith4Yong Yue5Department of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, ChinaDepartment of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, ChinaDepartment of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, ChinaDepartment of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, ChinaDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool, U.K.Department of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, ChinaUnder partial shading conditions (PSC), the power-voltage (P-V) characteristic curve of photovoltaic (PV) strings exhibits multiple peaks. Such mismatching phenomenon brings challenges in controlling the output power. To analyze the electrical characteristics of PV strings in complex environments, a quantitative analysis method is required to characterize the PSC. This paper introduces the shading matrix to describe the shading rate and shading strength information. The proposed shading matrix would provide maximum power point tracking (MPPT) controllers with the essential environmental information to improve the global maximum power point (GMPP) tracking performance. A modified Tabu search (MTS) based identification method is proposed to estimate the shading matrix. The proposed modified method involves a preselection process of updating the Tabu list to optimize the searching efficiency. The accuracy and efficiency of the proposed analytical estimation expression are validated through simulations and experiments. By comparing with binary search (BS), golden-section search (GS) and Tabu search (TS) algorithms, the proposed MTS algorithm is demonstrated to perceive the shading information at least 18.75% faster.https://ieeexplore.ieee.org/document/9068261/Shading matrixpartial shading conditionsphotovoltaic cellssolar energyTabu search |
spellingShingle | Ziqiang Bi Jieming Ma Kangshi Wang Ka Lok Man Jeremy S. Smith Yong Yue Identification of Partial Shading Conditions for Photovoltaic Strings IEEE Access Shading matrix partial shading conditions photovoltaic cells solar energy Tabu search |
title | Identification of Partial Shading Conditions for Photovoltaic Strings |
title_full | Identification of Partial Shading Conditions for Photovoltaic Strings |
title_fullStr | Identification of Partial Shading Conditions for Photovoltaic Strings |
title_full_unstemmed | Identification of Partial Shading Conditions for Photovoltaic Strings |
title_short | Identification of Partial Shading Conditions for Photovoltaic Strings |
title_sort | identification of partial shading conditions for photovoltaic strings |
topic | Shading matrix partial shading conditions photovoltaic cells solar energy Tabu search |
url | https://ieeexplore.ieee.org/document/9068261/ |
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