ANN-Based MPPT Algorithm for Photovoltaic Systems

Reşat ÇELİKEL; Ahmet GÜNDOĞDU

Makale detayları

ANN-Based MPPT Algorithm for Photovoltaic Systems

Yazarlar:

Reşat ÇELİKEL | Ahmet GÜNDOĞDU

Yayıncı:

Fırat University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Turkish Journal of Science and Technology 2020 Vol.15 Issue 2, pp.101-110

Belge Tipi:

Makale

Yayın Tarihi:

9/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000639178

Sıklık:

Aylık

eISSN:

1308-9099

pISSN:

1308-9080

Özet:

 

It is very important to get maximum efficiency from photovoltaic panels with low yields. To be able to achieve high efficiency from panels, maximum power point tracking algorithms have been developed. Perturb&Observe and incremental conductance methods, which are among the conventional methods, are not very successful in capturing the points from which maximum power can be obtained in variable atmospheric conditions. In this article, a maximum power point tracking method based on the artificial neural network was proposed. In the proposed method, artificial neural network inputs were designed as temperature and voltage, while its output was designed as the reference voltage. By controlling this reference voltage through a PI controller, it was ensured that the system generated maximum power in variable atmospheric conditions. Conventional methods and the proposed method were compared by simulation studies conducted in the MATLAB/Simulink environment. The superiority of the proposed method was demonstrated with a compelling scenario in which temperature and radiation were constantly changing.

Makale detayları

ANN-Based MPPT Algorithm for Photovoltaic Systems

Yazarlar: Reşat ÇELİKEL | Ahmet GÜNDOĞDU

Yayıncı: Fırat University

Ana Başlıklar: Uygulamalı fizik

Dergi: Turkish Journal of Science and Technology 2020 Vol.15 Issue 2, pp.101-110

Belge Tipi: Makale

Yayın Tarihi: 9/2020

Belge Dili: İngilizce

Document ID (Org No.): 2000639178

Sıklık: Aylık

eISSN: 1308-9099

pISSN: 1308-9080

Sayı

Yazarlar:

Reşat ÇELİKEL | Ahmet GÜNDOĞDU

Yayıncı:

Fırat University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Turkish Journal of Science and Technology 2020 Vol.15 Issue 2, pp.101-110

Belge Tipi:

Makale

Yayın Tarihi:

9/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000639178

Sıklık:

Aylık

eISSN:

1308-9099

pISSN:

1308-9080