MPPT method for PV modules using current control-based partial shading detection

Veerasamy, Balaji; Kitagawa, Wataru; Takeshita, Toru

doi:10.1109/icrera.2014.7016410

Cited by 11 publications

(2 citation statements)

References 10 publications

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“…Various methods have been investigated for the detection of this fault, these methods are often based on the analysis of electrical [17,18] and non-electrical parameters [19,20] .…”

Section: Introductionmentioning

confidence: 99%

Artificial neural network-based modelling and fault detection of partial shaded photovoltaic modules

Mekki

Mellit

Salhi

2016

Simulation Modelling Practice and Theory

184

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“…Various methods have been investigated for the detection of this fault, these methods are often based on the analysis of electrical [17,18] and non-electrical parameters [19,20] .…”

Section: Introductionmentioning

confidence: 99%

Artificial neural network-based modelling and fault detection of partial shaded photovoltaic modules

Mekki

Mellit

Salhi

2016

Simulation Modelling Practice and Theory

184

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“…Capacity generated by Photovoltaic panels in actual condition is often lower than standard working conditions [1][2][3][4][5][6]. The main reasons for reducing the performance of Photovoltaic panels are solar radiation, temperature or the aging of photovoltaic panels [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Reconfiguration of Solar Panels: Mathematical Model and Analysis

Ngoc¹,

Quang²,

Duy³

2019

EPES

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Balance solar radiation between photovoltaic panels or between groups of photovoltaic panels will help to improve the efficiency of electricity generation of the entire solar power system, making the most of the solar energy converted into electricity power. In order to achieve this, it is necessary to reconfigure the connection of photovoltaic panels or groups of photovoltaic panels in the solar power system. In this paper, the general mathematical model for implementing resconfiguring of photovoltaic panels or groups of photovoltaic panels is presented in 2 parts: calculating to find out the optimal configuration connecting photovoltaic panels or groups of photovoltaic panels to achieve the highest performance of the solar system; and find out the best way to switch from the initial connection configuration state to the optimal configuration. The author focuses on analyzing and proposing mathematical models for two main problems in previous studies, developing objective functions and clear constraints, which are the rationale for evaluation of the quality and accuracy of the proposed algorithms, thereby developing more optimal algorithms than previous algorithms. Several experimental studies have been applied on a system of 4 solar panels. The archived results demonstrated the correctness and efficiency of the proposed mathematical model and optimal algorithm.

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Energy Capturing Performance Comparison between Duty-Cycle Control and Current Control for Photovoltaic System

Lee

Cha

2019

2019 IEEE Applied Power Electronics Conference and Exposition (APEC)

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MPPT method for PV modules using current control-based partial shading detection

Cited by 11 publications

References 10 publications

Artificial neural network-based modelling and fault detection of partial shaded photovoltaic modules

Artificial neural network-based modelling and fault detection of partial shaded photovoltaic modules

Reconfiguration of Solar Panels: Mathematical Model and Analysis

Energy Capturing Performance Comparison between Duty-Cycle Control and Current Control for Photovoltaic System

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