WSEAS Transactions on Systems and Control


Print ISSN: 1991-8763
E-ISSN: 2224-2856

Volume 13, 2018

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.


Volume 13, 2018



Comparison Between the Conventional Methods and PSO Method for MPP Extraction in PV Systems Under Partial Shading Conditions

AUTHORS: Ahmed Lagrioui, Ghita Bennis, Mohammed Karim, Meryem Felja

Download as PDF

ABSTRACT: In this paper, we have studied the different output characteristics having photovoltaic modules with partial shading of the modules, in this way we have adopted an approach that achieves an effective track of maximum power point. This approach is based on the optimization of particle swarming (PSO), and in order to improve tracking performance, the linear reduction of weighting is necessary. To test the efficiency of this method, the results of the simulation are implemented, they also show the performance of the MPPT method which is based on modified PSO by comparing it with that of the known PSO methods.

KEYWORDS: - PV array, PSO command, MPPT, PV system under shading

REFERENCES:

[1] A. Barchowsky, “A comparative study of MPPT methods for distributed photovoltaic generation,” in Proceedings of the IEEE Innovative Smart Grid Technologies Conference, pp. 1–7, January 2012.

[2] M. A. S. Masoum, H. Dehbonei, and E. F. Fuchs, “Theoretical and experimental analyses of photovoltaic systems with voltage- and current-based maximum power-point tracking,” IEEE Transactions on Energy Conversion, vol. 17, no. 4, pp. 514– 522, 2002.

[3] Y. S. Xiong, S. Qian, and J.M. Xu, “Research on constant voltage with incremental conductance MPPT method,” in Proceedings of the Power and Energy Engineering Conference, March 2012.

[4] N. Femia,D. Granozio,G.Petrone,G. Spagnuolo, andM. Vitelli, “Predictive and adaptive MPPT perturb and observe method,” IEEE Transactions on Aerospace and Electronic Systems, vol. 43, no. 3, pp. 934–950, 2007.

[5] K. H. Chao and Y. H. Lee, “A maximum power point tracker with automatic step size tuning scheme for photovoltaic systems,” International Journal of Photoenergy, vol. 2012,Article ID 176341, 10 pages, 2012.

[6] R. Ramaprabha, V. Gothandaraman, K. Kanimozhi, R. Divya, and B. L. Mathur, “Maximum power point tracking using GAoptimized artificial neural network for solar PV system,” in Proceedings of the 1st International Conference on Electrical Energy Systems (ICEES ’11), pp. 264–268, Newport Beach, Calif, USA, January 2011.

[7] A. H. Besheer, “Ant colony system based PI maximum power point tracking for stand alone photovoltaic system,” in Proceedings of the IEEE International Industrial Technology Conference, pp. 693–698, March 2012.

[8] M.Adly, “An optimized fuzzy maximumpower point tracker for stand alone photovoltaic systems: ant colony approach,” in Proceedings of the 7th IEEE Industrial Electronics and Applications Conference, pp. 113–119, July 2012.

[9] K. H. Chao and C. L. Chiu, “Design and implementation of an intelligentmaximumpower point tracking controller for photovoltaic systems,” International Review of Electrical Engineering, vol. 7, no. 2, pp. 3759–3768, 2012.

[10] H. T. Yau and C. U. Wu, “Comparison of extremum-seeking control techniques for maximum power point tracking in photovoltaic systems,” Energies, vol. 4, no. 12, pp. 2180– 2195, 2011.

[11] H. Zazo, E. del Castillo, J. F. Reynaud, and R. Leyva, “MPPT for photovoltaic modules via newton-like extremum seeking control,” Energies, vol. 5, pp. 2653–2666, 2012.

[12] L. R. Chen, C. H. Tsai, Y. L. Lin, and Y. S. Lai, “A biological swarm chasing algorithm for tracking the PV maximum power point,” IEEE Transactions on Energy Conversion, vol. 25, no. 2, pp. 484–493, 2010.

[13] J. Kennedy and R. Eberhart, “PSO optimization,” in Proceedings, IEEE International Conference on Neural Networks, volume. IV, 1995, pp. 1941–1948.

[14] R. C. Eberhart and J. Kennedy, “A new optimizer using particle swarm theory,” in Proceedings of the 6th International Symposium onMicroMachine and Human Science, pp. 39–43,October 1995.

[15] D. Srinivasan, W. H. Loo, and R. L. Cheu, “Traffic incident detection using particle swarm optimization,” in Proceedings of the IEEE Swarm Intelligence Symposium, pp. 144–151, April 2003.

[16] W. H. Han, P. Yang, H. Ren, and J. Sun, “Comparison study of several kinds of inertia weights for PSO,” in Proceedings of the 1st IEEE International Conference on Progress in Informatics and Computing (PIC ’10), pp. 280– 284, Shanghai, China, December 2010.

[17] M. Elshaer, A. Mohamed, and O. Mohammed, “Smart optimal control of DC-DC boost converter in PV systems,” in Proceedings of the IEEE/PES Transmission and Distribution Conference and Exposition: Latin America (T and D-LA ’10), pp. 403–410, Sao Paulo, Brazil, November 2010.

[18] Bennis, G., Karim, M., & Lagrioui, A. (2015, December). Optimization of the performance of a photovoltaic system with MPPT controller. In 2015 3rd International Renewable and Sustainable Energy Conference (IRSEC) (pp. 1-6). IEEE

[19] Ghita, B., Mohammed, K., Ahmed, L., Nada, Z., Nourddine, S., & Ayoub, E. (2016). Ortimization and modeling of a given PV system has a single phase load. Journal of Theoretical & Applied Information Technology, 86(1).

[20] G.Bennis, M.Karim, A.Lagrioui, M.Felja,“Optimization the Performance of a Synchronization Controller For a 3-Phase Photovoltaic Grid-Connected System,” in WSEAS Transactions on Systems and Control, vol 13.

WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 13, 2018, Art. #22, pp. 186-192


Copyright © 2018 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

Bulletin Board

Currently:

The editorial board is accepting papers.


WSEAS Main Site