Maximum Power Point Tracking of Photovoltaic System Using Taguchi-based Fuzzy Logic Control

被引：2

作者：

Hong, Ying-Yi ^{[1
]}

Buay, Peter Mark P. ^{[1
]}

Beltran, Angelo A., Jr. ^{[2
]}

机构：

[1] Chung Yuan Christian Univ, Dept Elect Engn, Taoyuan, Taiwan

[2] Adamson Univ, Dept Elect Engn, Manila, Philippines

来源：

2019 IEEE MILAN POWERTECH | 2019年

关键词：

Boost Converter; Maximum Power Point Tracking; Taguchi Method; Multiple Scenarios; MPPT ALGORITHM; SOLAR; OPTIMIZATION;

D O I：

10.1109/ptc.2019.8810887

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：

Photovoltaic (PV) power generation has characteristics of uncertainty and intermittence due to varying irradiances and temperatures. Maximum Power Point Tracking (MPPT) algorithm in a DC/DC converter ensures the PV is able to generate its maximum power according to its power-voltage curve. This paper proposes a novel method based on Fuzzy Logic System (FLS) to tune the control gains. Sixty-three scenarios considering varying insolation and temperature from nine Taguchi's orthogonal experiments are studied to achieve a robust design of control gains. The obtained optimal control gains of FLS hence can be applied to different meteorological conditions. A standalone PV system with a boost converter and load is used to show the applicability of the proposed method.

引用

页数：6

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