A Fast MPPT Method Based on Improved Water Cycle Optimization Algorithm for Photovoltaic Systems Under Partial Shading Conditions and Load Variations
Photovoltaic array characteristics with partial shading (PS) have multiple maximum power points (MPPs), and conventional algorithms have difficulties in tracking accurate global maximum power points (GMPPs). This study proposes a MPP tracking (MPPT) method based on improved water cycle optimization...
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IEEE
2024-01-01
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| Series: | IEEE Open Journal of the Industrial Electronics Society |
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| Online Access: | https://ieeexplore.ieee.org/document/10779186/ |
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| author | Rafah Ibraheem Jabbar Saad Mekhilef Marizan Mubin Obaid Alshammari Ahmed Kazaili |
| author_facet | Rafah Ibraheem Jabbar Saad Mekhilef Marizan Mubin Obaid Alshammari Ahmed Kazaili |
| author_sort | Rafah Ibraheem Jabbar |
| collection | DOAJ |
| description | Photovoltaic array characteristics with partial shading (PS) have multiple maximum power points (MPPs), and conventional algorithms have difficulties in tracking accurate global maximum power points (GMPPs). This study proposes a MPP tracking (MPPT) method based on improved water cycle optimization for fast-tracking the GMPP under PS conditions, along with a new strategy to enhance the convergence speed of the MPPT method during load variations. The experimental setup included a dc–dc single-ended primary inductance converter (SEPIC) and digital signal processing and control engineering (DSPACE) controller to assess the performance of the proposed method. The proposed method was also compared with the conventional water cycle optimization and six MPPT algorithms. The experimental results showed that the proposed method obtained an average tracking efficiency of 99.92% and a tracking time of 0.475 s for all PS tests. Moreover, it achieved a GMPP in a single perturbation step when the load change occurred, reducing the power loss in the photovoltaic (PV) system. The comparison showed that the proposed method performed better than the other MPPT methods in terms of tracking efficiency, convergence speed, and ease of implementation. This method could be utilized to implement developed PV systems with minimal losses. |
| format | Article |
| id | doaj-art-19b9368b169943ed95ad8c605da61e39 |
| institution | Kabale University |
| issn | 2644-1284 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Industrial Electronics Society |
| spelling | doaj-art-19b9368b169943ed95ad8c605da61e392025-01-17T00:01:32ZengIEEEIEEE Open Journal of the Industrial Electronics Society2644-12842024-01-0151324133810.1109/OJIES.2024.351036710779186A Fast MPPT Method Based on Improved Water Cycle Optimization Algorithm for Photovoltaic Systems Under Partial Shading Conditions and Load VariationsRafah Ibraheem Jabbar0https://orcid.org/0000-0003-1315-8459Saad Mekhilef1https://orcid.org/0000-0001-8544-8995Marizan Mubin2https://orcid.org/0000-0001-7565-7822Obaid Alshammari3Ahmed Kazaili4Power Electronics and Renewable Energy Research Laboratory (PEARL), Department of Electrical Engineering, University of Malaya, Kuala Lumpur, MalaysiaPower Electronics and Renewable Energy Research Laboratory (PEARL), Department of Electrical Engineering, University of Malaya, Kuala Lumpur, MalaysiaPower Electronics and Renewable Energy Research Laboratory (PEARL), Department of Electrical Engineering, University of Malaya, Kuala Lumpur, MalaysiaDepartment of Electrical Engineering, University of Hail, Hail, Saudi ArabiaBiomechanical Engineering Group, School of Engineering, University of Liverpool, Liverpool, U.K.Photovoltaic array characteristics with partial shading (PS) have multiple maximum power points (MPPs), and conventional algorithms have difficulties in tracking accurate global maximum power points (GMPPs). This study proposes a MPP tracking (MPPT) method based on improved water cycle optimization for fast-tracking the GMPP under PS conditions, along with a new strategy to enhance the convergence speed of the MPPT method during load variations. The experimental setup included a dc–dc single-ended primary inductance converter (SEPIC) and digital signal processing and control engineering (DSPACE) controller to assess the performance of the proposed method. The proposed method was also compared with the conventional water cycle optimization and six MPPT algorithms. The experimental results showed that the proposed method obtained an average tracking efficiency of 99.92% and a tracking time of 0.475 s for all PS tests. Moreover, it achieved a GMPP in a single perturbation step when the load change occurred, reducing the power loss in the photovoltaic (PV) system. The comparison showed that the proposed method performed better than the other MPPT methods in terms of tracking efficiency, convergence speed, and ease of implementation. This method could be utilized to implement developed PV systems with minimal losses.https://ieeexplore.ieee.org/document/10779186/Fast convergence speedglobal maximum power point (GMPP)load changemaximum power point tracking (MPPT) methodphotovoltaic (PV) systempartial shading condition |
| spellingShingle | Rafah Ibraheem Jabbar Saad Mekhilef Marizan Mubin Obaid Alshammari Ahmed Kazaili A Fast MPPT Method Based on Improved Water Cycle Optimization Algorithm for Photovoltaic Systems Under Partial Shading Conditions and Load Variations IEEE Open Journal of the Industrial Electronics Society Fast convergence speed global maximum power point (GMPP) load change maximum power point tracking (MPPT) method photovoltaic (PV) system partial shading condition |
| title | A Fast MPPT Method Based on Improved Water Cycle Optimization Algorithm for Photovoltaic Systems Under Partial Shading Conditions and Load Variations |
| title_full | A Fast MPPT Method Based on Improved Water Cycle Optimization Algorithm for Photovoltaic Systems Under Partial Shading Conditions and Load Variations |
| title_fullStr | A Fast MPPT Method Based on Improved Water Cycle Optimization Algorithm for Photovoltaic Systems Under Partial Shading Conditions and Load Variations |
| title_full_unstemmed | A Fast MPPT Method Based on Improved Water Cycle Optimization Algorithm for Photovoltaic Systems Under Partial Shading Conditions and Load Variations |
| title_short | A Fast MPPT Method Based on Improved Water Cycle Optimization Algorithm for Photovoltaic Systems Under Partial Shading Conditions and Load Variations |
| title_sort | fast mppt method based on improved water cycle optimization algorithm for photovoltaic systems under partial shading conditions and load variations |
| topic | Fast convergence speed global maximum power point (GMPP) load change maximum power point tracking (MPPT) method photovoltaic (PV) system partial shading condition |
| url | https://ieeexplore.ieee.org/document/10779186/ |
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