Optimization Design and Test Bed of Fuzzy Control Rule Base for PV System MPPT in Micro Grid

被引：19

作者：

Kim, Jong-Chan ^{[1
]}

Huh, Jun-Ho ^{[2
]}

Ko, Jae-Sub ^{[3
]}

机构：

[1] Sunchon Natl Univ, Dept Comp Engn, 255 Jungang Ro, Suncheon City 57922, Jeollanam Do, South Korea

[2] Korea Maritime & Ocean Univ, Dept Data Informat, Busan 600716, South Korea

[3] Sunchon Natl Univ, Dept Elect Engn, 255 Jungang Ro, Suncheon City 57922, Jeollanam Do, South Korea

来源：

SUSTAINABILITY | 2020年 / 12卷 / 09期

基金：

新加坡国家研究基金会;

关键词：

PV system; fuzzy control; MPPT; rule base; error; changing error; micro grid; POWER POINT TRACKING; ALGORITHM;

D O I：

10.3390/su12093763

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper presents an optimal design of a fuzzy control rule base for tracking the maximum power point of a photovoltaic (PV) system. Fuzzy control is used for the maximum power point tracking (MPPT) of PV systems because it has the advantage of processing nonlinear systems. The rule base of fuzzy control depends on the user or designer's experience and determines the fuzzy control's performance. In this paper, we divide the MPPT state of the PV system into four cases according to the operating conditions, and propose the rule base design of the fuzzy control according to each case. The proposed method in the paper tests the MPPT performance using artificial lighting and compares the results with the conventional control method (proportional and integral (PI) and perturbation & observation (P&O) method) to prove its effectiveness.

引用

页数：25

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