A Lipschitz Optimization-Based MPPT Algorithm for Photovoltaic System Under Partial Shading Condition

The power-voltage curve of a photovoltaic (PV) array shows multiple power peaks under partially shading conditions (PSCs). Hence, conventional maximum power point tracking (MPPT) algorithms can not guarantee the maximum power output of the PV array. In this study, a novel Lipschitz optimization (LIP...

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Published inIEEE access Vol. 7; pp. 126323 - 126333
Main Authors Li, Wenfan, Zhang, Guogang, Pan, Tingzhe, Zhang, Zeyu, Geng, Yingsan, Wang, Jianhua
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Arrays
Convergence
Global maximum power point (GMPP)
Integrated circuit modeling
Lipschitz optimization (LIPO)
Maximum power point trackers
maximum power point tracking (MPPT)
Maximum power tracking
Optimization
partially shaded condition (PSC)
Particle swarm optimization
Photovoltaic cells
Photovoltaic systems
Shading
Online AccessGet full text
ISSN2169-3536
2169-3536
DOI10.1109/ACCESS.2019.2939095

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Abstract The power-voltage curve of a photovoltaic (PV) array shows multiple power peaks under partially shading conditions (PSCs). Hence, conventional maximum power point tracking (MPPT) algorithms can not guarantee the maximum power output of the PV array. In this study, a novel Lipschitz optimization (LIPO) MPPT algorithm, which is effective under PSCs, is proposed and analyzed. Its tracking speed is very fast and tracking efficiency is above 98%. The characteristics of a PV array under PSCs are first analyzed and then the working principle of the proposed LIPO MPPT algorithm is explained. In order to validate the performance of the proposed algorithm, two popular MPPT algorithms, i.e., the modified particle swarm optimization (M-PSO) algorithm and the modified firefly optimization (M-firefly) algorithm, are chosen to compare with it. All three algorithms are fulfilled and compared with each other through both simulations and experiments and the results show that the proposed MPPT algorithm has good performance.
AbstractList The power-voltage curve of a photovoltaic (PV) array shows multiple power peaks under partially shading conditions (PSCs). Hence, conventional maximum power point tracking (MPPT) algorithms can not guarantee the maximum power output of the PV array. In this study, a novel Lipschitz optimization (LIPO) MPPT algorithm, which is effective under PSCs, is proposed and analyzed. Its tracking speed is very fast and tracking efficiency is above 98%. The characteristics of a PV array under PSCs are first analyzed and then the working principle of the proposed LIPO MPPT algorithm is explained. In order to validate the performance of the proposed algorithm, two popular MPPT algorithms, i.e., the modified particle swarm optimization (M-PSO) algorithm and the modified firefly optimization (M-firefly) algorithm, are chosen to compare with it. All three algorithms are fulfilled and compared with each other through both simulations and experiments and the results show that the proposed MPPT algorithm has good performance.
Author Pan, Tingzhe
Geng, Yingsan
Wang, Jianhua
Li, Wenfan
Zhang, Zeyu
Zhang, Guogang
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Snippet The power-voltage curve of a photovoltaic (PV) array shows multiple power peaks under partially shading conditions (PSCs). Hence, conventional maximum power...
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SubjectTerms Algorithms
Arrays
Convergence
Global maximum power point (GMPP)
Integrated circuit modeling
Lipschitz optimization (LIPO)
Maximum power point trackers
maximum power point tracking (MPPT)
Maximum power tracking
Optimization
partially shaded condition (PSC)
Particle swarm optimization
Photovoltaic cells
Photovoltaic systems
Shading
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Title A Lipschitz Optimization-Based MPPT Algorithm for Photovoltaic System Under Partial Shading Condition
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