Hybrid GMPPT Technique for Photovoltaic Series Based on Fractional Characteristic Curve

被引:4
|
作者
Barbosa, Eduardo Jose [1 ]
Cavalcanti, Marcelo Cabral [1 ]
Azevedo, Gustavo Medeiros Souza [1 ]
Neto, Rafael Cavalcanti [1 ]
Barbosa, Eduardo Augusto Oliveira [1 ]
Bradaschia, Fabricio [1 ]
机构
[1] Univ Fed Pernambuco, Dept Engn Elect, BR-50670901 Recife, Brazil
来源
IEEE JOURNAL OF PHOTOVOLTAICS | 2024年 / 14卷 / 01期
关键词
Maximum power point (MPP) trackers; parameter estimation; photovoltaic (PV) power systems; MAXIMUM POWER POINT; TRACKING; SYSTEMS; MPPT; ALGORITHM; ARRAYS; MODEL;
D O I
10.1109/JPHOTOV.2023.3323774
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
This article proposes a hybrid global maximum power point (MPP) tracking technique, named improved global fractional characteristic curve (IGFCC), which combines the advantages of both the model-based and heuristic techniques. The IGFCC technique aims to achieve high speed and accuracy in tracking the MPP of photovoltaic (PV) modules. The model-based technique employed in the IGFCC technique utilizes a precise single-diode model that considers the effects of irradiance and temperature to estimate the MPP voltage. This model-based approach ensures accurate tracking of the MPP and is particularly suitable for PV series applications with string inverters. One of the advantages of the IGFCC technique is its computational efficiency. It involves solving simple equations derived from the single-diode model, which reduces the computational effort required for MPP tracking. This makes the technique practical and feasible for real-time implementation.
引用
收藏
页码:170 / 177
页数:8
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