Research Article
Maximum Power Point Tracking Control of Photovoltaic System using Fuzzy Logic Controller based on Incremental Conductance Technique
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Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
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| Volume 7 - Issue 31 |
| Published: Sep 2019 |
| Authors: K. B. Zirata, A. S. Kadalla, I. T. Thuku, Angeti Jival |
10.5120/cae2019652835
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K. B. Zirata, A. S. Kadalla, I. T. Thuku, Angeti Jival . Maximum Power Point Tracking Control of Photovoltaic System using Fuzzy Logic Controller based on Incremental Conductance Technique. Communications on Applied Electronics. 7, 31 (Sep 2019), 1-6. DOI=10.5120/cae2019652835
@article{ 10.5120/cae2019652835,
author = { K. B. Zirata,A. S. Kadalla,I. T. Thuku,Angeti Jival },
title = { Maximum Power Point Tracking Control of Photovoltaic System using Fuzzy Logic Controller based on Incremental Conductance Technique },
journal = { Communications on Applied Electronics },
year = { 2019 },
volume = { 7 },
number = { 31 },
pages = { 1-6 },
doi = { 10.5120/cae2019652835 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2019
%A K. B. Zirata
%A A. S. Kadalla
%A I. T. Thuku
%A Angeti Jival
%T Maximum Power Point Tracking Control of Photovoltaic System using Fuzzy Logic Controller based on Incremental Conductance Technique%T
%J Communications on Applied Electronics
%V 7
%N 31
%P 1-6
%R 10.5120/cae2019652835
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper focused on the design of Maximum Power Point Tracking (MPPT) for extracting maximum power from solar panel to improve the efficiency of the PV system by introducing maximum power point tracking techniques. Fuzzy Logic Control (FLC) algorithm was developed using the incremental conductance technique for MPPT. The simulated results reveal that the FLC has better performance which has suppressed the oscillation around the MPP than the Perturb and Observe (P and O) controller which has much oscillation around the MPP.
References
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