International Journal of Computational Intelligence Systems

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Volume 9, Issue 2, April 2016, Pages 202 - 212

Fuzzy Based Reconfiguration Method Using Intelligent Partial Shadow Detection in PV Arrays*

Authors
Mehmet Karakose1, †, mkarakose@firat.edu.tr, Mehmet Baygin1, mbaygin@firat.edu.tr, Kagan Murat1, kmurat@firat.edu.tr, Nursena Baygin2, nursenabaygin@gmail.com, Erhan Akin1, eakin@firat.edu.tr
1Computer Engineering Department, Firat University, Elazig, 23119, Turkey
2Computer Engineering Department, Kafkas University, Kars, 36000, Turkey
†Corresponding author: Computer Engineering Department, Firat University, 23119, Central Elazig, Turkey, Tel: +90-424-2370000, Email address: mkarakose@firat.edu.tr.
Corresponding Author
Mehmet Karakosemkarakose@firat.edu.tr
Received 30 April 2015, Accepted 3 January 2016, Available Online 1 April 2016.
DOI
10.1080/18756891.2016.1150004How to use a DOI?
Keywords
PV Arrays; Shadow Detection; Reconfiguration; Partial Shading Diagnosis; Fuzzy Logic; Switching Matrix
Abstract

Photovoltaic (PV) systems are the most commonly used methods. PV systems have the most potential and efficiency between the species of renewable energy. However, this method can be subjected to a loss of energy gain when shading occurs on the PV panels. To overcome this negative situation, a reconfiguration process in the PV systems has been developed. Through this method, the power losses caused by the shading of the panel on the system are attempting to be minimized . Without any change in the physical location of the pre-shading panels, the panels are co nfigured with electrical connectors. In this study, a new efficient and intelligent reconfiguration method is proposed. The short-circuit current values of the PV panels are detected using current sensors. Short-circuit current values vary in proportion to the shadings that occur on the panels. A fuzzy calculation is carried out taking the current values into account as the system input parameters. The optimal connection structure is detected by using the fuzzy output values. The result is then applied to the system by switching the matrix circuit. The proposed method has been tested in different shadowing conditions and has been seen as a gain ratio. Experiments performed in real-time availability have confirmed the suitability of the method for different sized systems.

Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
9 - 2
Pages
202 - 212
Publication Date
2016/04/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2016.1150004How to use a DOI?
Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Mehmet Karakose
AU  - Mehmet Baygin
AU  - Kagan Murat
AU  - Nursena Baygin
AU  - Erhan Akin
PY  - 2016
DA  - 2016/04/01
TI  - Fuzzy Based Reconfiguration Method Using Intelligent Partial Shadow Detection in PV Arrays*
JO  - International Journal of Computational Intelligence Systems
SP  - 202
EP  - 212
VL  - 9
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2016.1150004
DO  - 10.1080/18756891.2016.1150004
ID  - Karakose2016
ER  -