Advanced Variable Step Size Incremental Conductance MPPT for a Standalone PV System Utilizing a GA-Tuned PID Controller
In this article, a novel maximum power point tracking (MPPT) controller for the fast-changing irradiance of photovoltaic (PV) systems is introduced. Our technique utilizes a modified incremental conductance (IC) algorithm for the efficient and fast tracking of MPP. The proposed system has a simple i...
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| Format: | Article |
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MDPI AG
2020-08-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/16/4153 |
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| author | Adeel Feroz Mirza Majad Mansoor Qiang Ling Muhammad Imran Khan Omar M. Aldossary |
| author_facet | Adeel Feroz Mirza Majad Mansoor Qiang Ling Muhammad Imran Khan Omar M. Aldossary |
| author_sort | Adeel Feroz Mirza |
| collection | DOAJ |
| description | In this article, a novel maximum power point tracking (MPPT) controller for the fast-changing irradiance of photovoltaic (PV) systems is introduced. Our technique utilizes a modified incremental conductance (IC) algorithm for the efficient and fast tracking of MPP. The proposed system has a simple implementation, fast tracking, and achieved steady-state oscillation. Traditional MPPT techniques use a tradeoff between steady-state and transition-state parameters. The shortfalls of various techniques are studied. A comprehensive comparative study is done to test various existing techniques against the proposed technique. The common parameters discussed in this study are fast convergence, efficiency, and reduced oscillations. The proposed method successfully addresses these issues and improves the results significantly by using a proportional integral deferential (PID) controller with a genetic algorithm (GA) to predict the variable step size of the IC-based MPPT technique. The system is designed and tested against the perturbation and observation (P&O)-based MPPT technique. Our technique effectively detects global maxima (GM) for fast-changing irradiance due to the adopted GA-based tuning of the controller. A comparative analysis of the results proves the superior performance and capabilities to track GM in fewer iterations. |
| first_indexed | 2024-03-10T17:36:14Z |
| format | Article |
| id | doaj.art-1caca46630a44da28be3f5606d568bdf |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T17:36:14Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-1caca46630a44da28be3f5606d568bdf2023-11-20T09:50:18ZengMDPI AGEnergies1996-10732020-08-011316415310.3390/en13164153Advanced Variable Step Size Incremental Conductance MPPT for a Standalone PV System Utilizing a GA-Tuned PID ControllerAdeel Feroz Mirza0Majad Mansoor1Qiang Ling2Muhammad Imran Khan3Omar M. Aldossary4Department of Automation, University of Science and Technology of China, Hefei 230027, ChinaDepartment of Automation, University of Science and Technology of China, Hefei 230027, ChinaDepartment of Automation, University of Science and Technology of China, Hefei 230027, ChinaHefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei 230027, ChinaDepartment of Physics and Astronomy, College of Science, King Saud University, PO Box 2455, Riyadh 11451, Saudi ArabiaIn this article, a novel maximum power point tracking (MPPT) controller for the fast-changing irradiance of photovoltaic (PV) systems is introduced. Our technique utilizes a modified incremental conductance (IC) algorithm for the efficient and fast tracking of MPP. The proposed system has a simple implementation, fast tracking, and achieved steady-state oscillation. Traditional MPPT techniques use a tradeoff between steady-state and transition-state parameters. The shortfalls of various techniques are studied. A comprehensive comparative study is done to test various existing techniques against the proposed technique. The common parameters discussed in this study are fast convergence, efficiency, and reduced oscillations. The proposed method successfully addresses these issues and improves the results significantly by using a proportional integral deferential (PID) controller with a genetic algorithm (GA) to predict the variable step size of the IC-based MPPT technique. The system is designed and tested against the perturbation and observation (P&O)-based MPPT technique. Our technique effectively detects global maxima (GM) for fast-changing irradiance due to the adopted GA-based tuning of the controller. A comparative analysis of the results proves the superior performance and capabilities to track GM in fewer iterations.https://www.mdpi.com/1996-1073/13/16/4153genetic algorithm (GA)photovoltaic (PV)maximum power point tracking (MPPT)incremental conductance (IC)proportional integral deferential (PID)local maxima (LM) |
| spellingShingle | Adeel Feroz Mirza Majad Mansoor Qiang Ling Muhammad Imran Khan Omar M. Aldossary Advanced Variable Step Size Incremental Conductance MPPT for a Standalone PV System Utilizing a GA-Tuned PID Controller Energies genetic algorithm (GA) photovoltaic (PV) maximum power point tracking (MPPT) incremental conductance (IC) proportional integral deferential (PID) local maxima (LM) |
| title | Advanced Variable Step Size Incremental Conductance MPPT for a Standalone PV System Utilizing a GA-Tuned PID Controller |
| title_full | Advanced Variable Step Size Incremental Conductance MPPT for a Standalone PV System Utilizing a GA-Tuned PID Controller |
| title_fullStr | Advanced Variable Step Size Incremental Conductance MPPT for a Standalone PV System Utilizing a GA-Tuned PID Controller |
| title_full_unstemmed | Advanced Variable Step Size Incremental Conductance MPPT for a Standalone PV System Utilizing a GA-Tuned PID Controller |
| title_short | Advanced Variable Step Size Incremental Conductance MPPT for a Standalone PV System Utilizing a GA-Tuned PID Controller |
| title_sort | advanced variable step size incremental conductance mppt for a standalone pv system utilizing a ga tuned pid controller |
| topic | genetic algorithm (GA) photovoltaic (PV) maximum power point tracking (MPPT) incremental conductance (IC) proportional integral deferential (PID) local maxima (LM) |
| url | https://www.mdpi.com/1996-1073/13/16/4153 |
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