Comprehensive review on fast maximum power point tracking algorithms for solar power generation systems

This study firstly presents a concise overview and comparison of 96 fast maximum power point tracking (FMPPT) methods documented in the existing literature. Subsequently, a simulation and experimental framework is established to refine parameter settings and evaluate the performance of 10 FMPPT algorithms, including eight variable step size strategies, one numerical optimization method, and one deterministic soft computing approach, using statistical analysis. Key performance indicators such as steady-state time, tracking accuracy, energy-tracking loss, and power-tracking loss are considered. The simulation and experimental results are deliberated under uniform insolation conditions (UIC) and EN50530:2010 test conditions. Weighted scoring and the Friedman ranking test are utilized to analyze the data collected and provide users with a fair and informative basis for selecting an appropriate FMPPT methodology. This study is expected to be a valuable reference for researchers involved in FMPPT technology investigations.

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Publication Details

Journal
Ain Shams Engineering Journal
Published
2024-10-10
DOI
https://doi.org/10.1016/j.asej.2024.103093
Citations
6
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.61
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article

Comprehensive review on fast maximum power point tracking algorithms for solar power generation systems

Chunliang Liu, Guan‐Jhu Chen, Yihua Liu, Chun-Yen Su
6 citations
Ain Shams Engineering Journal
Photovoltaic System Optimization Techniques
0.61
article

Comprehensive review on fast maximum power point tracking algorithms for solar power generation systems

Chunliang Liu, Guan‐Jhu Chen, Yihua Liu, Chun-Yen Su
article en
6 citations

Abstract

This study firstly presents a concise overview and comparison of 96 fast maximum power point tracking (FMPPT) methods documented in the existing literature. Subsequently, a simulation and experimental framework is established to refine parameter settings and evaluate the performance of 10 FMPPT algorithms, including eight variable step size strategies, one numerical optimization method, and one deterministic soft computing approach, using statistical analysis. Key performance indicators such as steady-state time, tracking accuracy, energy-tracking loss, and power-tracking loss are considered. The simulation and experimental results are deliberated under uniform insolation conditions (UIC) and EN50530:2010 test conditions. Weighted scoring and the Friedman ranking test are utilized to analyze the data collected and provide users with a fair and informative basis for selecting an appropriate FMPPT methodology. This study is expected to be a valuable reference for researchers involved in FMPPT technology investigations.

Ain Shams Engineering JournalVol. 15(12)
National Taiwan University of Science and Technology (TW), National Changhua University of Education (TW), National Yunlin University of Science and Technology (TW)
Affordable and clean energy
Openalex Percentile: Top 39%
Photovoltaic System Optimization Techniques
0.61
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