Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Unbounded Binary Search Method for Fast-tracking Maximum Power Point of Photovoltaic Modules

Authors
Hong, YohanKim, Yong Sin백광현
Issue Date
Dec-2016
Publisher
대한전자공학회
Keywords
Binary search; Dc-dc converter; Fast-tracking MPP; Photovoltaic module
Citation
IEIE Transactions on Smart Processing & Computing, v.5, no.6, pp 454 - 461
Pages
8
Journal Title
IEIE Transactions on Smart Processing & Computing
Volume
5
Number
6
Start Page
454
End Page
461
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/7547
DOI
10.5573/IEIESPC.2016.5.6.454
ISSN
2287-5255
Abstract
A maximum power point tracking (MPPT) system with fast-tracked time and high power efficiency is presented in this paper. The proposed MPPT system uses an unbounded binary search (UBS) algorithm that continuously tracks the maximum power point (MPP) with a binary system to follow the MPP under rapid–weather-change conditions. The proposed algorithm can decide the correct direction of the MPPT system while comparing the previous power point with the present power point. And then, by fixing the MPP until finding the next MPP, there is no oscillation of voltage MPP, which maximizes the overall power efficiency of the photovoltaic module. With these advantages, this proposed UBS is able to detect the MPP more effectively. This MPPT system is based on a boost converter with a micro-control unit to control analog-to-digital converters and pulse width modulation. Analysis of this work and experimental results show that the proposed UBS MPPT provides fast, accurate tracking with no oscillation in situations where weather rapidly changes and shadow is caused by all sorts of things. The tracking time is reduced by 87.3% and 66.1% under dynamic-state and steady-state operation, respectively, as compared with the conventional 7-bit perturb and observe technique.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Baek, Kwang Hyun photo

Baek, Kwang Hyun
창의ICT공과대학 (전자전기공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE