The week's pick
Reseach Article
Maximum Power Point Tracker for Photovoltaic Systems using On-line Learning Neural Networks
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 72 - Number 10 |
| Year of Publication: 2013 |
| Authors: Mohamed Tahar Makhloufi, Yassine Abdessemed, Mohamed Salah Khireddine |
10.5120/12530-9000
|
Mohamed Tahar Makhloufi, Yassine Abdessemed, Mohamed Salah Khireddine . Maximum Power Point Tracker for Photovoltaic Systems using On-line Learning Neural Networks. International Journal of Computer Applications. 72, 10 ( June 2013), 29-36. DOI=10.5120/12530-9000
Abstract
In this paper a new maximum-power-point-tracking (MPPT) controller for a photovoltaic (PV) energy conversion system is proposed. Nowadays, PV generation is more and more used as a renewable energy source. However, its main drawback is that PV generation is intermittent because it depends on shading conditions consequently irradiance value. Thus, the MPPT (Maximum Power Point Tracking Technique) together with the battery energy storage is necessary in order to obtain a stable and reliable maximum output power from a PV generation system. In our research work, the reference voltage for the MPPT is obtained by an artificial neural network (ANN) using the steepest negative gradient algorithm. The tracking algorithm adjusts the duty-cycle value of the dc/dc buck converter so that the PV-module voltage equals the voltage corresponding to the MPPT for any given realistic operation irradiance and temperature. The controller, which uses the classical perturb and observe (P&O) technique processes then the information gathered to a ANN controller bloc, which in turn generates the optimal value of the buck converter duty-cycle. The energy obtained from the converter is stored in a lithium-ion battery which feeds a useful load. The simulation results show the effectiveness of this method for the extraction of the maximum power available in the presence of different types of disturbances.
References
- S. Gomathy, S. Saravanan, and Dr. S. Thangavel, "Design and Implementation of Maximum Power Point Tracking (MPPT) Algorithm for a Standalone PV System", International Journal of Scientific & Engineering Research, Vol. 3, N°3, 2012.
- L. Fangrui, Y. Kang, Y. Zhang, and S. Duan, "Comparison of P&O and Hill Climbing MPPT Methods for Grid-Connected PV Converter," Industrial Electronics and Applications, 2008, ICIEA 2008. 3rd IEEE Conference on. pp. 804-7. 2008
- O. Lopez Lapena, M. Penella, and M. Gasulla, "A new MPPT method for low-power solar energy harvesting," IEEE Trans. Ind. Electron. , Vol. 57, N°9, pp. 3129–3138, Sep. 2010.
- L. Piegari and R. Rizzo, "Adaptive perturb and observe algorithm for photovoltaic maximum power point tracking," IET Renewable. Power Gen. , Vol. 4, N°. 4, pp. 317-328, Jul. 2010.
- M. Makhlouf, F. Messai, and H. Benalla, "Modeling and Simulation of Grid-connected Hybrid Photovoltaique Battery Distributed Generation System". Canadian Journal on Electrical and electronics Engineering Vol, 3, N° 1, 2012.
- N. Boutasseta, "PSO-PI based Control of Photovoltaic Arrays International Journal of Computer Applications, Vol. 48, N°17, pp. 36-40, June 2012.
- D. Vasarevicius1, R. Martavicius1, and M. Pikutis1, "Application of Artificial Neural Networks for Maximum Power Point Tracking of Photovoltaic Panels"Elektronika ir Elektrotechnika, ISSN 1392-1215, Vol. 18, N° 10, 2012.
- Chun-hua Li, Xin-jian Zhu, Guang-yi Cao,Wan-qi Hu, Sheng Sui,Ming-ruo Hu, "A Maximum Power Point Tracker for Photovoltaic Energy Systems Based on Fuzzy Neural Networks", "Journal of Zhejiang University Science A", Vol. 10, N°. 2, pp. 263–270, 2009.
- Tyson D, "Design and simulation of photovoltaic super system using simulink",Project of Electrical Engineering, Calfornia Polytechnic State University,San LuisObispo, 2006.
- Uwe Zimmermann, and Marika Edoff,"A Maximum Power Point Tracker for Long-Term Logging of PV Module Performance" IEEE Journal of Photovoltaics, Vol. . 2, N°. 1, 2012.
- K. Kassmi, M. Hamdaoui et F. Olivié "Conception et modélisation d'un système photovoltaïque adapté par une commande MPPT analogique", Revue des Energies Renouvelables,Vol. 10, N°4, pp. 451 – 462, 2007.
- Sree Manju B, Ramaprabha R ,and Mathur B. L, "Design and Modeling of Standalone Solar Photovoltaic Charging System" ,International Journal of Computer Applications, pp. 41 –45, Vol 18– No. 2, March 2011.
Index Terms
Keywords