A Proposed Fuzzy Controller for MPPT of A Photovoltaic System

被引：0

作者：

Hassan, Haitham ^{[1
]}

Geliel, Mostafa Abdel ^{[1
]}

Abu-Zeid, Mahmoud ^{[1
]}

机构：

[1] Arab Acad Sci & Technol, Elect & Control Engn, Alex, Egypt

来源：

2014 IEEE CONFERENCE ON ENERGY CONVERSION (CENCON) | 2014年

关键词：

MPPT; FUZZY; BUCK-BOOST;

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 have a great concern nowadays to overcome the conventional energy sources problem. The solar energy is one of the renewable energy that is implemented in different scale. The Photovoltaic cell (PV) is used to convert solar energy into electrical energy. The PV has a non-linear characteristic between its current and voltage. In addition, the PV power is highly sensitive to the atmospheric conditions, in particular temperature and solar radiation. This makes the PV has different equilibrium points. Therefore, selecting equilibrium points that extract the maximum allowable power of the PV is mandatory in order to enhance the PV system efficiency and robustness. The controller that can select the optimal operating point is defined as the Maximum Power Point Tracking (MPPT). MPPT is addressed by different techniques scattered in literatures. This paper proposes a modified fuzzy algorithm for MPPT of the PV system in order to enhance its performance, in transient and steady state, and robustness and accelerate the recovery time due to a sudden change in the connected load. A comparison between the proposed technique and conventional techniques is illustrated. Simulation and practical results are addressed.

引用

页码：164 / 169

页数：6

共 9 条

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