A Power Optimizer utilizing Nonlinear Adaptive Control for Distributed Photovoltaic Systems

被引：0

作者：

Sun, T. T. ^{[1
]}

Shao, S. Q. ^{[1
]}

Tang, J. L. ^{[1
]}

机构：

[1] Southwest Minzu Univ, Coll Elect & Informat Engn, Chengdu 610041, Sichuan, Peoples R China

来源：

PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON CIVIL, TRANSPORTATION AND ENVIRONMENTAL ENGINEERING (ICCTE 2017) | 2017年 / 135卷

关键词：

Power Optimizer; Nonlinear Adaptive control; Buck; boost converter; Photovoltaic system;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In order to improve the utilization of the solar energy, a PV power optimizer was investigated in this paper. According to the distributed maximum power point(DMPP) architecture, each of the PV cells is equipped with a power optimizer. The power optimizer utilizing nonlinear adaptive control, which is based on a nonlinear model describing the dynamics of the buck-boost converter. Theoretical analysis and the simulation results indicate that the proposed nonlinear adaptive control technique achieves fast and accurate MPPT under varying irradiance conditions. Compared with PID control method, the nonlinear adaptive control method takes less time to achieve MPPT. The simulation is performed by simpowersystem toolbox of MATLAB.

引用

页码：606 / 611

页数：6

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