Improved maximum power point tracking algorithms by using numerical analysis techniques for photovoltaic systems
Solar photovoltaic (PV) panels generate optimal electricity when operating at the maximum power point (MPP). This study introduces a novel MPP tracking algorithm that leverages the numerical prowess of the predictor-corrector method, tailored to accommodate voltage and current fluctuations in PV pan...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-03-01
|
| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123023008678 |
| _version_ | 1797247722707746816 |
|---|---|
| author | Lyu Guanghua Farah Andleeb Siddiqui Muhammad Mohsin Aman Syed Hadi Hussain Shah Aqsa Ali Arsalan Muhammad Soomar Shoaib Shaikh |
| author_facet | Lyu Guanghua Farah Andleeb Siddiqui Muhammad Mohsin Aman Syed Hadi Hussain Shah Aqsa Ali Arsalan Muhammad Soomar Shoaib Shaikh |
| author_sort | Lyu Guanghua |
| collection | DOAJ |
| description | Solar photovoltaic (PV) panels generate optimal electricity when operating at the maximum power point (MPP). This study introduces a novel MPP tracking algorithm that leverages the numerical prowess of the predictor-corrector method, tailored to accommodate voltage and current fluctuations in PV panels resulting from variable environmental factors like solar irradiation and temperature. This paper delves into the intricate dynamics of solar panels, presenting a comprehensive mathematical model capturing the interdependencies between current, voltage, power, solar irradiation, and temperature. Existing numerical MPPT techniques are explored to provide their advantages and disadvantages. The proposed algorithm, formulated in MATLAB, encapsulates essential solar panel variables and undergoes rigorous dynamic testing in the Simulink® environment under diverse solar irradiation and temperature scenarios. These results are visually represented through graphs and tabulations. A subsequent section offers a simulation-driven comparative review of the proposed algorithm against established methodologies. The article culminates with conclusions drawn from the empirical findings and outlines promising avenues for future research. |
| first_indexed | 2024-03-08T14:34:49Z |
| format | Article |
| id | doaj.art-2b4ad50738e0402faf50464fd784f4cf |
| institution | Directory Open Access Journal |
| issn | 2590-1230 |
| language | English |
| last_indexed | 2024-04-24T20:03:13Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj.art-2b4ad50738e0402faf50464fd784f4cf2024-03-24T07:00:28ZengElsevierResults in Engineering2590-12302024-03-0121101740Improved maximum power point tracking algorithms by using numerical analysis techniques for photovoltaic systemsLyu Guanghua0Farah Andleeb Siddiqui1Muhammad Mohsin Aman2Syed Hadi Hussain Shah3Aqsa Ali4Arsalan Muhammad Soomar5Shoaib Shaikh6Power China Huadong Engineering Co., Ltd., Hangzhou, ChinaElectrical Engineering Department, NED University of Engineering and Technology, Karachi, Pakistan; Corresponding author.Electrical Engineering Department, NED University of Engineering and Technology, Karachi, PakistanPower China Huadong Engineering Co., Ltd., Hangzhou, China; Corresponding author.Mohammad Ali Jinnah University, Karachi, PakistanFaculty of Electrical and Control Engineering, Gdańsk University of Technology, Gdańsk, PolandDepartment of Electrical Engineering, Mehran University of Engineering and Technology, Jamshoro, PakistanSolar photovoltaic (PV) panels generate optimal electricity when operating at the maximum power point (MPP). This study introduces a novel MPP tracking algorithm that leverages the numerical prowess of the predictor-corrector method, tailored to accommodate voltage and current fluctuations in PV panels resulting from variable environmental factors like solar irradiation and temperature. This paper delves into the intricate dynamics of solar panels, presenting a comprehensive mathematical model capturing the interdependencies between current, voltage, power, solar irradiation, and temperature. Existing numerical MPPT techniques are explored to provide their advantages and disadvantages. The proposed algorithm, formulated in MATLAB, encapsulates essential solar panel variables and undergoes rigorous dynamic testing in the Simulink® environment under diverse solar irradiation and temperature scenarios. These results are visually represented through graphs and tabulations. A subsequent section offers a simulation-driven comparative review of the proposed algorithm against established methodologies. The article culminates with conclusions drawn from the empirical findings and outlines promising avenues for future research.http://www.sciencedirect.com/science/article/pii/S2590123023008678SolarRenewable energyMPPTNumerical analysis techniqueAlgorithm |
| spellingShingle | Lyu Guanghua Farah Andleeb Siddiqui Muhammad Mohsin Aman Syed Hadi Hussain Shah Aqsa Ali Arsalan Muhammad Soomar Shoaib Shaikh Improved maximum power point tracking algorithms by using numerical analysis techniques for photovoltaic systems Results in Engineering Solar Renewable energy MPPT Numerical analysis technique Algorithm |
| title | Improved maximum power point tracking algorithms by using numerical analysis techniques for photovoltaic systems |
| title_full | Improved maximum power point tracking algorithms by using numerical analysis techniques for photovoltaic systems |
| title_fullStr | Improved maximum power point tracking algorithms by using numerical analysis techniques for photovoltaic systems |
| title_full_unstemmed | Improved maximum power point tracking algorithms by using numerical analysis techniques for photovoltaic systems |
| title_short | Improved maximum power point tracking algorithms by using numerical analysis techniques for photovoltaic systems |
| title_sort | improved maximum power point tracking algorithms by using numerical analysis techniques for photovoltaic systems |
| topic | Solar Renewable energy MPPT Numerical analysis technique Algorithm |
| url | http://www.sciencedirect.com/science/article/pii/S2590123023008678 |
| work_keys_str_mv | AT lyuguanghua improvedmaximumpowerpointtrackingalgorithmsbyusingnumericalanalysistechniquesforphotovoltaicsystems AT farahandleebsiddiqui improvedmaximumpowerpointtrackingalgorithmsbyusingnumericalanalysistechniquesforphotovoltaicsystems AT muhammadmohsinaman improvedmaximumpowerpointtrackingalgorithmsbyusingnumericalanalysistechniquesforphotovoltaicsystems AT syedhadihussainshah improvedmaximumpowerpointtrackingalgorithmsbyusingnumericalanalysistechniquesforphotovoltaicsystems AT aqsaali improvedmaximumpowerpointtrackingalgorithmsbyusingnumericalanalysistechniquesforphotovoltaicsystems AT arsalanmuhammadsoomar improvedmaximumpowerpointtrackingalgorithmsbyusingnumericalanalysistechniquesforphotovoltaicsystems AT shoaibshaikh improvedmaximumpowerpointtrackingalgorithmsbyusingnumericalanalysistechniquesforphotovoltaicsystems |