Pattern Search algorithm for the Maximum Power Point Tracking in Photovoltaic System

Noureddine BARKA, Djillani BENATTOUS, Yacine LABBI

Abstract


The aim of this paper is to present an intelligent control method for the maximum power point tracking (MPPT) of photovoltaic system under different climatic conditions with regard to temperature and irradiation. A Pattern Search algorithm (PS) is suggested to be combined with the maximum power point tracker as a strategic optimization for the photovoltaic panel. The voltaic system is composed of a solar panel and PS MPP tracker and it is simulated and evaluated. The system has shown a better performance as well as the effectiveness of PS MPP in terms of getting maximum energy production despite the changing climate conditions.

Keywords


Photovoltaic system; power; MPPT;Pattern Search algorithm (PS); Optimization;

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References


- A. Labouret, M. Villoz, Energie solaire photovoltaïque: le manuel du professionnel. Paris: Dunod, 2003.

- D. Bellala, M. Chaabanem, optimization by continuous Genetic algorithm of the Maximum Photovoltaic Power tracking under different climatic conditions. Asian J. inf. tech., 6(6) (2007).

- Z.M.S. Elbarbary, M.A. Alranini, Review of maximum power point tracking algorithms of PV system. Front. Eng. Built Env., 1(1) (2021) 68-80. doi:10.1108/FEBE-03-2021-0019.

- R.B. Bollipo, S. Mikkili, P.K. Bonthagorla, Hybrid, optimal, intelligent and classical PV MPPT techniques: A review. CSEE J. Power Energy Sys., 7(1) (2021) 9-33. doi:10.17775/CSEEJPES.2019.02720.

- D. Beriber, A. Talha. MPPT techniques for PV systems. in 4th International Conference on Power Engineering, Energy and Electrical Drives. (2013), 1437-1442. doi:10.1109/PowerEng.2013.6635826.

- A. Mohapatra, B. Nayak, P. Das, K.B. Mohanty, A review on MPPT techniques of PV system under partial shading condition. Renewable Sustainable Energy Rev., 80 (2017) 854-867. doi:10.1016/j.rser.2017.05.083.

- A.B.G. Bahgat, N.H. Helwa, G.E. Ahmad, E.T. El Shenawy, Maximum power point traking controller for PV systems using neural networks. Renewable Energy, 30(8) (2005) 1257-1268. doi:10.1016/j.renene.2004.09.011.

- W. Geoff, Evaluating MPPT Converter Topologies Using a Matlab PV Model. J. Electr .Electron. Eng. doi:10.3316/informit.537020271845747.

- N. Hatziargyriou, M. Donnelly, S. Papathanassiou, J.P. Lopes, M. Takasaki, H. Chao, J. Usaola, R. Lasseter, A. Efthymiadis, K. Karoui, Modeling new forms of generation and storage. Cigre TF38, 1 (2000).

- J. Gow, C. Manning, Development of a photovoltaic array model for use in power-electronics simulation studies. IEE Proceedings-Electric Power Applications, 146(2) (1999) 193-200.

- D. Weiner, A. Levinson, An optimal operation design of a photovoltaic d.c. motor coupled water pumping system. Electr. Mach. Power Syst., 24(3) (1996) 277-288. doi:10.1080/07313569608955674.

- J.P. Lawrence, K. Steiglitz, Randomized Pattern Search. IEEE Trans. Comput., C-21(4) (1972) 382-385. doi:10.1109/TC.1972.5008979.

- J.S. Al-Sumait, A.K. Al-Othman, J.K. Sykulski, Application of pattern search method to power system valve-point economic load dispatch. Int. J. Electr. Power Syst., 29(10) (2007) 720-730. doi:10.1016/j.ijepes.2007.06.016.

- National Renewable Energy Laboratory (NREL) Daily plot and Raw Data Files March 08, 2010 and May 11, 2009 (downloaded from http://www.nrel.gov/midc/srrl_bms/).

- R.M. Lewis, V. Torczon, M.W. Trosset, Direct search methods: then and now. J. Comput. Appl. Math., 124(1) (2000) 191-207. doi:10.1016/S0377-0427(00)00423-4.


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ISSN 2170-127X

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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Based on a work at http://revue.ummto.dz.