Optimisation Of A GPV By An Artificial Intelligence Technical

Cilt: 2 Sayı: 4 1 Aralık 2012
  • Bouchafaa Farid
  • Boukhalfa Saida
  • Aounallah Tarek
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Optimisation Of A GPV By An Artificial Intelligence Technical

Abstract

This paper present two approaches for improving intelligence and performance optimization control of a photovoltaic system, the method further maximum power point tracking (MPPT) based on fuzzy logic method and artificial neural networks.The MPPT controller based neural networks, is developed and compared to the fuzzy logic algorithm. The results obtained under different operating conditions show that the system of control by fuzzy logic MPPT PV system is faster compared to the algorithm for neural networks against the latter is more stable than fuzzy logic.

Keywords

Kaynakça

  1. M.A.S.Masoum, M.Sarvi, “Design, Simulation and Implementation of A Fuzzy-Based MPP Tracker under Variable Insolation and Temperature Conditions“, Iranian Journal of Science & Technology, Transaction B, Engineering, Vol. 29, No. B1, Shiraz University 2005.
  2. C.Larbes, S.M. A t Cheikh, T.Obeidi, A.Zerguerras, “Genetic algorithms optimized fuzzy logic control for the maximum power point tracking in photovoltaic system“, Renewable Energy, Vol 34, pp. 2093-2100,2009.
  3. S.Lalouni, D.Rekioua, T.Rekioua, E.Matagne, “Fuzzy logic control of stand-alone photovoltaic system with battery storage“, Journal of Power Sources, Vol.193, No.2, pp. 899-907, 2009.
  4. C. Ben Salah, M.Ouali, “Comparison of fuzzy logic and neural network in maximum power point tracker for PV systems“, Electric Power Systems Research, Vol.81, No.2, pp. 43-50, 2011.
  5. A.Mellit, “Sizing of photovoltaic systems: a review“, journal of Renewable Energy, Vol.10, N°4, pp. 463-472, 2007.
  6. A.Kulaksiz, R.Akkaya, “Training data optimization for ANNs using genetic algorithms to enhance MPPT efficiency of a stand-alone system“, Turk J Elec Eng. & Comp. Sci, Vol.20, No.2, 2012.
  7. A. Mathew, A. I. Selvakumar, “MPPT Based Stand- Alone Water Pumping System“, International Conference on Computer, Communication & Electrical Technology - ICCCET2011, 18-19 March 2011.

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

-

Yazarlar

Bouchafaa Farid Bu kişi benim

Boukhalfa Saida Bu kişi benim

Aounallah Tarek Bu kişi benim

Yayımlanma Tarihi

1 Aralık 2012

Gönderilme Tarihi

3 Şubat 2016

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2012 Cilt: 2 Sayı: 4

Kaynak Göster

APA
Farid, B., Saida, B., & Tarek, A. (2012). Optimisation Of A GPV By An Artificial Intelligence Technical. International Journal Of Renewable Energy Research, 2(4), 730-735. https://izlik.org/JA82TU67SF
AMA
1.Farid B, Saida B, Tarek A. Optimisation Of A GPV By An Artificial Intelligence Technical. International Journal Of Renewable Energy Research. 2012;2(4):730-735. https://izlik.org/JA82TU67SF
Chicago
Farid, Bouchafaa, Boukhalfa Saida, ve Aounallah Tarek. 2012. “Optimisation Of A GPV By An Artificial Intelligence Technical”. International Journal Of Renewable Energy Research 2 (4): 730-35. https://izlik.org/JA82TU67SF.
EndNote
Farid B, Saida B, Tarek A (01 Aralık 2012) Optimisation Of A GPV By An Artificial Intelligence Technical. International Journal Of Renewable Energy Research 2 4 730–735.
IEEE
[1]B. Farid, B. Saida, ve A. Tarek, “Optimisation Of A GPV By An Artificial Intelligence Technical”, International Journal Of Renewable Energy Research, c. 2, sy 4, ss. 730–735, Ara. 2012, [çevrimiçi]. Erişim adresi: https://izlik.org/JA82TU67SF
ISNAD
Farid, Bouchafaa - Saida, Boukhalfa - Tarek, Aounallah. “Optimisation Of A GPV By An Artificial Intelligence Technical”. International Journal Of Renewable Energy Research 2/4 (01 Aralık 2012): 730-735. https://izlik.org/JA82TU67SF.
JAMA
1.Farid B, Saida B, Tarek A. Optimisation Of A GPV By An Artificial Intelligence Technical. International Journal Of Renewable Energy Research. 2012;2:730–735.
MLA
Farid, Bouchafaa, vd. “Optimisation Of A GPV By An Artificial Intelligence Technical”. International Journal Of Renewable Energy Research, c. 2, sy 4, Aralık 2012, ss. 730-5, https://izlik.org/JA82TU67SF.
Vancouver
1.Bouchafaa Farid, Boukhalfa Saida, Aounallah Tarek. Optimisation Of A GPV By An Artificial Intelligence Technical. International Journal Of Renewable Energy Research [Internet]. 01 Aralık 2012;2(4):730-5. Erişim adresi: https://izlik.org/JA82TU67SF