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A PSO-based Optimization of a fuzzy-based MPPT controller for a photovoltaic pumping system used for irrigation of greenhouses | ||
Iranian Journal of Fuzzy Systems | ||
مقاله 2، دوره 13، شماره 3، شهریور 2016، صفحه 1-18 اصل مقاله (1.12 M) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22111/ijfs.2016.2426 | ||
نویسندگان | ||
aboubakeur Hadjaissa* 1؛ Khaled Ameur1؛ Mohamed Salah Ait-Cheikh2؛ Najib Essounbouli3 | ||
1LACoSERE Laboratory, Amar Telidji University, BP 37G, Ghardaia Road, Laghouat (03000), Algeria | ||
2LDCCP Laboratory, Ecole nationale polytchnique, 10 avenue H. Badi BP 182 Harrach Algiers, Algeria | ||
3CReSTIC Laboratory, Reims University, 10026 Troyes CEDEX, France | ||
چکیده | ||
The main asset of this paper is among the uses of fuzzy logic in the engineering sector and especially in the renewable energies as a large alternate of fossil energies, in this paper a PSO-based optimization is used to find the optimal scaling parameters, of a fuzzy logic-based MPPT controller, that maximize the efficiency of a photovoltaic pumping system. The tuning of input and output parameters are of direct effect on the power that flows from the photovoltaic source to the load. In order to see concrete results, the PV system is used for irrigation of greenhouses in Laghouat, Algeria. The performances of the proposed PSO-based fuzzy controller are compared with those obtained using fuzzy logic and P&O controllers under variations of meteorological conditions. The simulation results proved a good robustness performance of the proposed Fuzzy based PSO controller over the other regarding the gained solar energy and the daily pumped water. | ||
کلیدواژهها | ||
PSO-based optimization؛ Photovoltaic pumping system؛ MPPT controller؛ Fuzzy logic؛ Perturb and Observe (P&O) | ||
مراجع | ||
[1] M. A. Eltawil and Z. Zhao, MPPT techniques for photovoltaic applications, Renewable and Sustainable Energy Reviews, 25 (2013), 793-813. [2] N. Gokmen, E. Karatepe, F. Ugranli and S. Silvestre, Voltage band based global MPPT controller for photovoltaic systems, Solar Energy, 98 (2013), 322-334. [3] O. Guenounou, B. Dahhou and F.Chabour, Adaptive fuzzy controller based MPPT for pho- tovoltaic systems, Energy Conversion and Management, 78 (2014), 843-850. [4] A. M. Kassem, MPPT control design and performance improvements of a PV generator powered DC motor-pump system based on articial neural networksm, Electrical Power and Energy Systems, 43 (2012), 90{98. [5] L. K. Letting ,J. L. Munda and Y. Hamam, Optimization of a fuzzy logic controller for PV grid inverter control using S-function based PSO, Solar Energy, 86 (2012), 1689-1700. [6] T. Martire, C. Glaize, C. Joubert and B. Rouviere, A simplied but accurate prevision method for along the sun PV pumping systems, Solar energy, 82 (2008), 1009-1020. [7] E. Mehdizadeh, S. Sadi-nezhad and R. Tavakkoli-moghaddam, Optimization of fuzzy clus- tering criteria by a hybrid PSO and fuzzy c-means clustering algorithm, Iranian Journal of Fuzzy Systems, 5(3) (2008), 1-14. [8] P. Periasamy, N. K. Jain and I. P.Singh, A review on development of photovoltaic water pumping system, Renewable and Sustainable Energy Reviews, 43 (2015), 918-925. [9] H. Rezk and A. M. Eltamaly, A comprehensive comparison of dierent MPPT techniques for photovoltaic systems, Solar energy, 112 (2015), 1-11. | ||
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