International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Contact Us

IJSTR >> Volume 9 - Issue 9, September 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Simulation And Analysis Of Particle Swarm Optimization Algorithm Based MPPT For PV System Operating Under Partial Shading Condition

[Full Text]



Ritu K R, Dr.BHARAT MISHRA, Dr.A K Wadhwani



Partial Shading Conditions ,Photovoltaic, Maximum Power Point MPP ,Maximum Power Point Tracking MPPT ,Global PowerPoint GMP, Particle Swarm Optimization (PSO) ,DC-DC Boost Converter ,Local Maximum Power Point.



With the ever increasing demand solar energy has emerged as one of the most important renewable energy sources, so it is important to operate the photovoltaic panels in a manner that we obtain maximum efficiency from it. But there are problem associated with the photovoltaic panels like the Partial Shading Condition which greatly impacts the proficiency of PV system. MPPT performs an important role to enhance the power of PV systems. During PSC PV trajectories will be distinct and very complex due to various peaks available .The conventional MPPT methods will fail to reach the Global Maximum Power Point and it usually stays at the Local Maximum Peak Point which surely would decline the efficiency and performance of the PV module. This research focuses on Particle Swarm Optimization approach for tracking peak power to identify the GM PP. This approach provides a high reliability robustness and proficiency towards Maximum Power Point. The authenticity of this proposed algorithm is done using MATLAB /Simulink.



[1]. Y. J. Wang and P. C. Hsu, “Analytical modeling of partial shading and different orientation of photovoltaic modules,” IET Renew. Power Generation, vol. 4, no. 3, pp. 272-282, May 2010.
[2] K. Ishaque and Z. Salam, “The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions,” Applied Energy, vol. 119, pp. 228-236, 2014
[3] M. Veerachary, T. Senjyu, and K. Uezato, “Neural network-basedmaximum power point tracking of coupled-inductor interleaved boost converter supplied PV system using fuzzy controller,” IEEE Trans. on Industrial Electronics, vol. 50, no. 4, pp. 749-758, August 2003.
[4]. G. V. Quesada, F. G. Gispert, R. P. Lopez, M. R. Lumbreras, and A. C. Roca, “Electrical PV array reconfiguration strategy for energy extraction improvement in grid connected PV systems,” IEEE Trans. Ind. Electron. vol. 56, no. 11, pp. 4319-4331, July 2009
[5]. K. Kobayashi, I. Takano, and Y. Sawada, “A study of a two stage maximum power point tracking control of a photovoltaic system under partially shaded insolation conditions,” in Proc. IEEE Power Engineering Society General Meeting, 2003, p. 2617.
[6] . J. L. Yi, et al., “Solar hot spot phenomenon and its analysis,” Chinese Journal of Power Sources, vol. 6, no. 2, pp. 816-818,2012
[7]. Y. Shaiek and M. Smida, “Comparison between conventional methods and GA approach for MPPT of solar PV generators,” Article in Solar Energy, pp. 107-122, 2013.
[8]. S. Gupta, S. Bhardwaj, and P. K. Bhatia, “A reminiscent study of nature inspired computation,” Int. J. Adv. Eng. Technol. IJAET, vol. 1, no. 2, pp. 117-125, 2011.
[9]. Z. Salam, J. Ahmed, and B. S. Merugu, “The application of soft computing methods for MPPT of PV system: A technological and status review,” Applied Energy, vol. 107, pp. 135-148, 2013.
[10]. H. Taheri, Z. Salam, K. Ishaque, and Syafaruddin, “A novel maximum power point tracking control of photovoltaic system under partial and rapidly fluctuating shadow conditions using differential evolution,” in Proc. IEEE Symposium on Industrial,Electronics & Application, 2010, pp. 82-87.
[11]. M. Pedemonte, S. Nesmachnow, and H. Cancela, “A survey on parallel ant colony optimization,” Elsevier Appl. Soft Comput., vol. 11, no. 8, pp. 5181-5197, 2011
[12]. L. L. Jiang, D. L. Maskell, and J. C. Patra, “A novel ant colony optimization based maximum power point tracking for photovoltaic systems under partially shaded conditions,” Energy and Build, vol. 58, pp. 227-236, 2013.
[13] . M. G. Hotel and S. Sulawesi, “Problem-Solving Mismatching Losses of Photovoltaic (PV) System under Partially Shaded Conditions,” no. November, pp. 1–4, 2014.
[14]. K. H. Hussein and I. Muta, “Maximum photovoltaic power tracking: An algorithm for rapidly changing atmospheric conditions,” in Proc. Inst. Electr. Eng. Generation, Transmiss. Distrib., 1995, Pages. 59–64.
[15]. M. Yunliang, G. Meifeng, and Z. Chaochao, “Research of PV MPPT control strategy based on particle swarm optimization,” Manufacturing Automation J-Global, vol. 37, pp. 52-54, July 2015.
[16] Basic Calculation of a Boost Converter's Power Stage of Texus Instrument, January 2014.
[17] T. Esram and P.L. Chapman, “Comparison of Photovoltaic array Maximum Power Point Tracking Techniques,” IEEE Transaction on Energy Conversion, vol.22, no.2, 2007, pp.439-449