A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under partial shading conditions
This article presents a comparative analysis of the latest swarm-based optimization approaches under partial shading conditions (PSCs) for maximum power point tracking (MPPT) in photovoltaic (PV) systems. The swarm-based MPPT algorithms are stochastic meta-heuristic approaches that have become very...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Energy Reports |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722007302 |
| _version_ | 1828011190655123456 |
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| author | Muhammad Shahid Wasim Muhammad Amjad Salman Habib Muhammad Abbas Abbasi Abdul Rauf Bhatti S.M. Muyeen |
| author_facet | Muhammad Shahid Wasim Muhammad Amjad Salman Habib Muhammad Abbas Abbasi Abdul Rauf Bhatti S.M. Muyeen |
| author_sort | Muhammad Shahid Wasim |
| collection | DOAJ |
| description | This article presents a comparative analysis of the latest swarm-based optimization approaches under partial shading conditions (PSCs) for maximum power point tracking (MPPT) in photovoltaic (PV) systems. The swarm-based MPPT algorithms are stochastic meta-heuristic approaches that have become very popular recently in various applications owing to the drawbacks of conventional MPPT algorithms under different operating conditions. A comprehensive review of the recent research on these algorithms is carried out particularly focusing on the PSCs. The advantages, disadvantages, applications, computational efficiency, and stability of these algorithms are critically surveyed in detail. Moreover, to analyze the comparative performance of the swarm-based algorithms, a special case study is conducted in the MATLAB/Simulink environment for a solar-powered DC load with a boost converter. The performance of seven swarm-based MPPT techniques is evaluated in this case study in terms of their settling time, convergence speed, overshoot, and efficiency under different levels of PSCs. The statistical analysis for 30 simulation runs shows that under heavier shading conditions, the grasshopper optimization algorithm (GOA) and salp swarm algorithm (SSA) outperform other swarm-based MPPT algorithms. It is envisaged that this work will be a one-stop source of guidance for researchers working in the field of MPP optimization under PSCs. |
| first_indexed | 2024-04-10T09:11:28Z |
| format | Article |
| id | doaj.art-d91474cb938647a0b18635533e5ea91b |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T09:11:28Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-d91474cb938647a0b18635533e5ea91b2023-02-21T05:11:03ZengElsevierEnergy Reports2352-48472022-11-01848714898A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under partial shading conditionsMuhammad Shahid Wasim0Muhammad Amjad1Salman Habib2Muhammad Abbas Abbasi3Abdul Rauf Bhatti4S.M. Muyeen5University College of Engineering and Technology, The Islamia University of Bahawalpur, Bahawalpur, PakistanUniversity College of Engineering and Technology, The Islamia University of Bahawalpur, Bahawalpur, Pakistan; Corresponding authors.College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, ChinaUniversity College of Engineering and Technology, The Islamia University of Bahawalpur, Bahawalpur, PakistanDepartment of Electrical Engineering and Technology, Government College University Faisalabad (GCUF), Faisalabad, PakistanDepartment of Electrical Engineering, Qatar University, Doha, 2713, Qatar; Corresponding authors.This article presents a comparative analysis of the latest swarm-based optimization approaches under partial shading conditions (PSCs) for maximum power point tracking (MPPT) in photovoltaic (PV) systems. The swarm-based MPPT algorithms are stochastic meta-heuristic approaches that have become very popular recently in various applications owing to the drawbacks of conventional MPPT algorithms under different operating conditions. A comprehensive review of the recent research on these algorithms is carried out particularly focusing on the PSCs. The advantages, disadvantages, applications, computational efficiency, and stability of these algorithms are critically surveyed in detail. Moreover, to analyze the comparative performance of the swarm-based algorithms, a special case study is conducted in the MATLAB/Simulink environment for a solar-powered DC load with a boost converter. The performance of seven swarm-based MPPT techniques is evaluated in this case study in terms of their settling time, convergence speed, overshoot, and efficiency under different levels of PSCs. The statistical analysis for 30 simulation runs shows that under heavier shading conditions, the grasshopper optimization algorithm (GOA) and salp swarm algorithm (SSA) outperform other swarm-based MPPT algorithms. It is envisaged that this work will be a one-stop source of guidance for researchers working in the field of MPP optimization under PSCs.http://www.sciencedirect.com/science/article/pii/S2352484722007302Swarm optimizationGlobal maximum power pointPartial shadingPhotovoltaic |
| spellingShingle | Muhammad Shahid Wasim Muhammad Amjad Salman Habib Muhammad Abbas Abbasi Abdul Rauf Bhatti S.M. Muyeen A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under partial shading conditions Energy Reports Swarm optimization Global maximum power point Partial shading Photovoltaic |
| title | A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under partial shading conditions |
| title_full | A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under partial shading conditions |
| title_fullStr | A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under partial shading conditions |
| title_full_unstemmed | A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under partial shading conditions |
| title_short | A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under partial shading conditions |
| title_sort | critical review and performance comparisons of swarm based optimization algorithms in maximum power point tracking of photovoltaic systems under partial shading conditions |
| topic | Swarm optimization Global maximum power point Partial shading Photovoltaic |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722007302 |
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