Fast and precise global maximum power point tracking techniques for photovoltaic system
Author | Husain, Mohammed Aslam |
Author | Jain, Abhinandan |
Author | Tariq, Abu |
Author | Iqbal, Atif |
Available date | 2020-08-18T08:34:45Z |
Publication Date | 2019 |
Publication Name | IET Renewable Power Generation |
Resource | Scopus |
ISSN | 17521416 |
Abstract | The multiple power peaks obtained in the power-voltage (P-V) curve of a photovoltaic string under partially shaded condition results in a complicated maximum power point tracking (MPPT) process. Under this condition, the conventional MPPT methods are not acknowledged as they result in false and slow tracking. In this study three novel global MPPT (GMPPT) methods have been proposed and validated. These are named as large and small duty step (LSDS), large and mutable duty step (LMDS) and fast and intelligent GMPPT (FI-GMPPT). The LSDS method sweeps almost the entire P-V curve using a combination of LSDS. Small duty steps are used in predefined areas near all local maximum power points of the P-V curve. LMDS is a further improved method, which uses a combination of LMDSs. The FI-GMPPT is an advance true GMPPT method which limits the area to be swept during the search process. This results in a further reduction in sweep time. In this method, the unnecessary area is skipped during the sweep process. The improved performance of the projected methods has been demonstrated and validated using MATLAB/SIMULINK and hardware implementation. - The Institution of Engineering and Technology 2019 |
Sponsor | The support of the Council of Science and Technology Uttar Pradesh (CST/2732), India, for this work is highly acknowledged. |
Language | en |
Publisher | Institution of Engineering and Technology |
Subject | Maximum Power Point Trackers Powerpoint Photovoltaic System |
Type | Article |
Pagination | 2569-2579 |
Issue Number | 14 |
Volume Number | 13 |
Files in this item
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |
This item appears in the following Collection(s)
-
Electrical Engineering [2611 items ]