Qalaai Zanist Scientific Journal
گۆڤارى قەڵاى زانست

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Qalaai Zanist Scientific Journal  
Volume 2, Issue 2, April 2017

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Paper Title: A Hybrid Neur-Fuzzy Optimization Method for PV Steady State Improvement in Maximum Power Point Tracking Controller
Author (s):

Ashty M. Aaref - University of Northen, Kirkuk, Iraq
Ali M. Humada -
Ministry of Electricity, Iraq.
Index Terms:

Maximum Power Point Tracking (MPPT), PV system, Oscillation of MPPT, Neural-Fuzzy control method. P&O MPPT method


This paper presents ahybrid Neural-Fuzzy optimization method for the purpose of assuringthe steady state case of the Maximum Power Point (MPP) for a Photovoatic (PV) system. Also, it works to decrease the oscillation occurring around MPP. The proposed method implemented via using an improved intelligent control method, neural fuzzy networks (Nueural-Fuzzy). The results showed that the PV system with Maximum Power Point Tracking (MPPT) always tracks the peak powerpoint of the PV module under various operating conditions. Afterwards, these results are validated by the comparison with the conventional and most used methods (P&O) and showed that the proposed MPPT method has better steady state and therefore less oscillation around the MPP than the P&O. It is also shown that, the increase in the output power due to usingthe MPPT is about 48.2% for a clear weather conditions and 34.8% for a shadow conditions.

Cite This Paper (APA):

M. Aaref, A., & M. Humada, A. (2017). A Hybrid Neur-Fuzzy Optimization Method for PV Steady State Improvement in Maximum Power Point Tracking Controller. Qalaai Zanist Scientific Journal, 2(2). doi:10.25212/lfu.qzj.2.2.04

Text Language: English
Pp.: 28 - 35
Full Text:


Researchers and readers of Qalaai zanist are invited to submit their articles with Kurdish, Arabic or English language (to that are consistent with the objective of this journal for publishing in the future issues.


A Scientific Quarterly Refereed Journal, Published by Lebanese French University (LFU) , Erbil - Kurdistan, Iraq
Licensed by Ministry of Higher Education and Scientific Research - Kurdistan Regional Government (Decree 13071/9 in August 29, 2016)
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