MPPT OF PHOTOVOLTAIC SYSTEM VARIABLE ACCELERATION DISTURBANCE METHOD BASED ON GENETIC ALGORITHM

被引：3

作者：

Li, Shengqing ^{[1
]}

Wu, Wenfeng ^{[1
]}

Ma, Dinghuan ^{[1
]}

机构：

[1] Hunan Univ Technol, Coll Elect & Informat Engn, Zhuzhou 412007, Hunan, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION | 2018年 / 33卷 / 02期

基金：

中国国家自然科学基金;

关键词：

MPPT; photovoltaic system; genetic algorithm; acceleration disturbance; INCREMENTAL CONDUCTANCE MPPT; POWER POINT TRACKING; PV SYSTEM; IMPLEMENTATION;

D O I：

10.2316/Journal.206.2018.2.206-5131

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The benefits of PV have limited its large-scale development. To improve the efficiency of photovoltaic power generation, a PV Maximum Power Point Tracking (MPPT) accelerating perturbation method based on genetic algorithm is proposed by analysing the mathematical model of PV cells and optimizing MPPT controller strategy. The difference between the variable step perturbation method and the variable accelerating perturbation method is compared, and the acceleration process of the variable accelerating perturbation method is proved by mathematical expression. To further improve the tracking accuracy and reduce the tracking time of the system, the genetic algorithm is used to establish the initial search range. Finally, the simulation model is built in Matlab/Simulink software platform, and the correctness of the method is verified by simulation.

引用

页码：179 / 185

页数：7

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