Revolutionizing Photovoltaic Systems: An Innovative Approach to Maximum Power Point Tracking Using Enhanced Dandelion Optimizer in Partial Shading Conditions
Partial shading (PS) is a prevalent phenomenon that often affects photovoltaic (PV) installations, leads to the appearance of numerous peaks in the power-voltage characteristics of PV cells, caused by the uneven distribution of solar irradiance on the PV module surface, known as global and local max...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/9/3617 |
| _version_ | 1797602765829046272 |
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| author | Elmamoune Halassa Lakhdar Mazouz Abdellatif Seghiour Aissa Chouder Santiago Silvestre |
| author_facet | Elmamoune Halassa Lakhdar Mazouz Abdellatif Seghiour Aissa Chouder Santiago Silvestre |
| author_sort | Elmamoune Halassa |
| collection | DOAJ |
| description | Partial shading (PS) is a prevalent phenomenon that often affects photovoltaic (PV) installations, leads to the appearance of numerous peaks in the power-voltage characteristics of PV cells, caused by the uneven distribution of solar irradiance on the PV module surface, known as global and local maximum power point (GMPP and LMPP). In this paper, a new technique for achieving GMPP based on the dandelion optimizer (DO) algorithm is proposed, inspired by the movement of dandelion seeds in the wind. The proposed technique aimed to enhance the efficiency of power generation in PV systems, particularly under PS conditions. However, the DO-based MPPT is compared with other advanced maximum power point tracker (MPPT) algorithms, such as Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), Artificial Bee Colony (ABC), Cuckoo Search Algorithm (CSA), and Bat Algorithm (BA). Simulation results establish the superiority and effectiveness of the used MPPT in terms of tracking efficiency, speed, robustness, and simplicity of implementation. Additionally, these results reveal that the DO algorithm exhibits higher performance, with a root mean square error (RMSE) of 1.09 watts, a convergence time of 2.3 milliseconds, and mean absolute error (MAE) of 0.13 watts. |
| first_indexed | 2024-03-11T04:20:14Z |
| format | Article |
| id | doaj.art-82a72d2e3d8a4d14a0a698409d2eb370 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T04:20:14Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-82a72d2e3d8a4d14a0a698409d2eb3702023-11-17T22:49:27ZengMDPI AGEnergies1996-10732023-04-01169361710.3390/en16093617Revolutionizing Photovoltaic Systems: An Innovative Approach to Maximum Power Point Tracking Using Enhanced Dandelion Optimizer in Partial Shading ConditionsElmamoune Halassa0Lakhdar Mazouz1Abdellatif Seghiour2Aissa Chouder3Santiago Silvestre4Applied Automation and Industrial Diagnostic Laboratory (LAADI), Ziane Achour University of Djelfa, Djelfa 17000, AlgeriaApplied Automation and Industrial Diagnostic Laboratory (LAADI), Ziane Achour University of Djelfa, Djelfa 17000, AlgeriaEcole Supérieure en Génie Electrique et Énergétique d’Oran, Laboratory of Electrical and Materials Engineering (LGEM), Oran 31000, AlgeriaElectrical Engineering Laboratory (LGE), University Mohamed Boudiaf of M’sila, BP 166, M’sila 28000, AlgeriaMNT Group, Electronic Engineering Department, Universitat Politécnica de Catalunya (UPC) BarcelonaTech, C/Jordi Girona 1-3, Campus Nord UPC, 08034 Barcelona, SpainPartial shading (PS) is a prevalent phenomenon that often affects photovoltaic (PV) installations, leads to the appearance of numerous peaks in the power-voltage characteristics of PV cells, caused by the uneven distribution of solar irradiance on the PV module surface, known as global and local maximum power point (GMPP and LMPP). In this paper, a new technique for achieving GMPP based on the dandelion optimizer (DO) algorithm is proposed, inspired by the movement of dandelion seeds in the wind. The proposed technique aimed to enhance the efficiency of power generation in PV systems, particularly under PS conditions. However, the DO-based MPPT is compared with other advanced maximum power point tracker (MPPT) algorithms, such as Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), Artificial Bee Colony (ABC), Cuckoo Search Algorithm (CSA), and Bat Algorithm (BA). Simulation results establish the superiority and effectiveness of the used MPPT in terms of tracking efficiency, speed, robustness, and simplicity of implementation. Additionally, these results reveal that the DO algorithm exhibits higher performance, with a root mean square error (RMSE) of 1.09 watts, a convergence time of 2.3 milliseconds, and mean absolute error (MAE) of 0.13 watts.https://www.mdpi.com/1996-1073/16/9/3617maximum power point tracker (MPPT)photovoltaicpartial shading conditions (PSCs)dandelion optimizeroptimization |
| spellingShingle | Elmamoune Halassa Lakhdar Mazouz Abdellatif Seghiour Aissa Chouder Santiago Silvestre Revolutionizing Photovoltaic Systems: An Innovative Approach to Maximum Power Point Tracking Using Enhanced Dandelion Optimizer in Partial Shading Conditions Energies maximum power point tracker (MPPT) photovoltaic partial shading conditions (PSCs) dandelion optimizer optimization |
| title | Revolutionizing Photovoltaic Systems: An Innovative Approach to Maximum Power Point Tracking Using Enhanced Dandelion Optimizer in Partial Shading Conditions |
| title_full | Revolutionizing Photovoltaic Systems: An Innovative Approach to Maximum Power Point Tracking Using Enhanced Dandelion Optimizer in Partial Shading Conditions |
| title_fullStr | Revolutionizing Photovoltaic Systems: An Innovative Approach to Maximum Power Point Tracking Using Enhanced Dandelion Optimizer in Partial Shading Conditions |
| title_full_unstemmed | Revolutionizing Photovoltaic Systems: An Innovative Approach to Maximum Power Point Tracking Using Enhanced Dandelion Optimizer in Partial Shading Conditions |
| title_short | Revolutionizing Photovoltaic Systems: An Innovative Approach to Maximum Power Point Tracking Using Enhanced Dandelion Optimizer in Partial Shading Conditions |
| title_sort | revolutionizing photovoltaic systems an innovative approach to maximum power point tracking using enhanced dandelion optimizer in partial shading conditions |
| topic | maximum power point tracker (MPPT) photovoltaic partial shading conditions (PSCs) dandelion optimizer optimization |
| url | https://www.mdpi.com/1996-1073/16/9/3617 |
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