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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Main Authors: Ziqiang Bi, Jieming Ma, Kangshi Wang, Ka Lok Man, Jeremy S. Smith, Yong Yue
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
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.
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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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AT kalokman identificationofpartialshadingconditionsforphotovoltaicstrings
AT jeremyssmith identificationofpartialshadingconditionsforphotovoltaicstrings
AT yongyue identificationofpartialshadingconditionsforphotovoltaicstrings