LAPSE:2023.25788
Published Article
LAPSE:2023.25788
Advanced Variable Step Size Incremental Conductance MPPT for a Standalone PV System Utilizing a GA-Tuned PID Controller
Adeel Feroz Mirza, Majad Mansoor, Qiang Ling, Muhammad Imran Khan, Omar M. Aldossary
March 29, 2023
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.
Keywords
genetic algorithm (GA), global maxima (GM), incremental conductance (IC), local maxima (LM), maximum power point tracking (MPPT), photovoltaic (PV), proportional integral deferential (PID)
Suggested Citation
Feroz Mirza A, Mansoor M, Ling Q, Khan MI, Aldossary OM. Advanced Variable Step Size Incremental Conductance MPPT for a Standalone PV System Utilizing a GA-Tuned PID Controller. (2023). LAPSE:2023.25788
Author Affiliations
Feroz Mirza A: Department of Automation, University of Science and Technology of China, Hefei 230027, China
Mansoor M: Department of Automation, University of Science and Technology of China, Hefei 230027, China
Ling Q: Department of Automation, University of Science and Technology of China, Hefei 230027, China
Khan MI: Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei 230027, China [ORCID]
Aldossary OM: Department of Physics and Astronomy, College of Science, King Saud University, PO Box 2455, Riyadh 11451, Saudi Arabia [ORCID]
Journal Name
Energies
Volume
13
Issue
16
Article Number
E4153
Year
2020
Publication Date
2020-08-11
Published Version
ISSN
1996-1073
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PII: en13164153, Publication Type: Journal Article
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doi:10.3390/en13164153
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Mar 29, 2023
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