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

Wenfan Li; Guogang Zhang; Tingzhe Pan; Zeyu Zhang; Yingsan Geng; Jianhua Wang

doi:10.1109/ACCESS.2019.2939095

IEEE Access (Jan 2019)

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

Wenfan Li,
Guogang Zhang,
Tingzhe Pan,
Zeyu Zhang,
Yingsan Geng,
Jianhua Wang

Affiliations

Wenfan Li: ORCiD; State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China
Guogang Zhang: State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China
Tingzhe Pan: State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China
Zeyu Zhang: State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China
Yingsan Geng: State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China
Jianhua Wang: State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China

DOI: https://doi.org/10.1109/ACCESS.2019.2939095
Journal volume & issue: Vol. 7
pp. 126323 – 126333

Abstract

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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.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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