A comparative study of maximum power point tracking algorithms for PV arrays

被引：0

作者：

Swanepoel, Nathan Chris ^{[1
]}

Richards, Coneth Graham ^{[1
]}

Nnachi, Agha Francis ^{[1
]}

Ehlers, Pieter Johannes ^{[1
]}

机构：

[1] Tshwane Univ Technol, Dept Elect Engn, Witbank Campus, Emalahleni, South Africa

来源：

2020 6TH IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON) | 2020年

关键词：

Incremental Conductance (IC); Perturb & Observe (P&O); Maximum Power Point Tracking (MPPT); Efficiency; Photovoltaic (PV); MATLAB;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Renewable energy sources like the sun have great potential to change the energy sector. Photovoltaic arrays are required to harness this energy; however, obtaining maximum power from the arrays has always been a challenge. Several authors have proposed different maximum power tracking (MPPT) algorithms. This paper presents a comparative study between the Incremental Conductance and Perturb & Observe MPPT to find the most efficient and effective algorithm at any irradiance and temperature. Simulation and experimentation were conducted with results analyzed and compared. From the analysis, the general observation emerges that the Incremental conductance algorithm is the best performing.

引用

页码：819 / 823

页数：5

共 8 条

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