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

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

doi:10.1109/access.2019.2939095

Wenfan Li, Guogang Zhang + Show 4 more

Open Access

https://doi.org/10.1109/access.2019.2939095

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Journal: IEEE Access	Publication Date: Jan 1, 2019
Citations: 53	License type: CC BY 4.0

Affiliation: Xi'an Jiaotong University

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.

Highlights

Nowadays, with the rapid consumption of fossil fuels, renewable energy sources are attracting considerable critical attention
In order to prove the performance of the proposed maximum power point tracking (MPPT) method, its performances are compared with other typical MPPT methods, the modified particle swarm optimization (PSO) (M-PSO) algorithm proposed in [22] and the modified firefly (M-firefly) algorithm proposed in [24] under different partially shaded conditions (PSCs)
EXPERIMENTAL RESULTS After verifying the effectiveness and superiority of the proposed Lipschitz optimization (LIPO) MPPT algorithm through simulations, experiments have been performed for verifying the feasibility of the proposed method in practice and the experimental results will be introduced in this part

Summary

Introduction

With the rapid consumption of fossil fuels, renewable energy sources are attracting considerable critical attention. Solar energy is becoming as one of the most significant current discussions in renewable energy sources. The output voltage and current of a PV array have a highly nonlinear relation and they mainly depend on the environmental conditions, such as solar irradiance and temperature. The powervoltage (P-V) curve of a PV array has only one peak under uniform irradiance while it has multiple peaks under partially shaded conditions (PSCs), including some local peaks (LPs) and one global peak (GP). In order to make the PV array work at the global maximum power point (GMPP), not the local maximum power point (LMPP), tracking the GP of the

Methods

Results

Conclusion