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The Particle Swarm Optimization Algorithm for Maximum Power Extraction of Solar PV Array

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Advances in Smart Grid and Renewable Energy

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 435))

Abstract

The utilization of renewable energy nowadays has a tremendous growth over the past few years. The important factor which reduces the power output of solar PV array is partial shading. Further the mismatch losses in solar PV array are created by uneven shading. This affects the characteristics of PV array by creating multiple peaks which further reduces the output power. To reduce the effect of partial shading, the shading pattern has to be distributed uniformly which can reduce the mismatch losses as well as to increase the output power. In this article, the PSO algorithm has been proposed to mitigate the problems by partial shading to increase the output yield.

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References

  1. Rajasekar, N., Neeraja, K., Venugopalan, R: Bacterial foraging algorithm based solar PV parameter estimation. Solar Energy 97, 255–265 (2013)

    Google Scholar 

  2. Sudhakar Babu T., Rajasekar, N., Sangeetha, K.: Modified particle swarm optimization technique based maximum power point tracking for uniform and under partial shading condition. Appl. Soft Comput. 34, 613–624 (2015)

    Google Scholar 

  3. Sahu, H.S., Nayak, S.K., Mishra, S: Maximizing the power generation of a partially shaded PV array. IEEE J. Emerg. Sel. Top. Power Electron. 04, 626–637(2016)

    Google Scholar 

  4. Indu Rani, B., Saravana Ilango, G., Nagamani, C.: Enhanced power generation from PV array under partial shading conditions by shade dispersion using Su Do Ku configuration. IEEE Trans. Sustain. Energy 43, 594–601 (2013)

    Google Scholar 

  5. Sahu, H.S., Nayak, S.K.: Power enhancement of partially shaded PV array by using a novel approach for shade dispersion. In: IEEE Conference on Innovative Smart Grid Technologies—Asia (ISGT ASIA), pp. 498–503 (2014)

    Google Scholar 

  6. Vijayalekshmy, S., Bindu G.R., Rama Iyer, S.: A novel Zig-Zag scheme for power enhancement of partially shaded solar arrays. Solar Energy, 135, 92–102 (2016)

    Google Scholar 

  7. Kennedy, J., Eberhart, R.: Particle swarm optimization. IEEE Int. Conf. Neural Netw. 4, 1942–1948 (1995)

    Google Scholar 

  8. Rajasekar, N., Vysakh, M., Thakur, H.V., Mohammed Azharuddin, S., Muralidhar, K., Paul, D., Jacob, B., Balasubramanian, K., Sudhakar Babu, T.: Application of modified particle swarm optimization for maximum power point tracking under partial shading condition. Energy Procedia. 61, 2633–2639 (2014)

    Google Scholar 

  9. Ishaque, K., Salam, Z., Amjad, M., Mekhilef, S.: An improved particle swarm optimization (PSO)-based MPPT for PV with reduced steady-state oscillation. IEEE Trans. Power Electron. 27, 3627–3638 (2012)

    Google Scholar 

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Correspondence to N. Rajasekar .

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Dhanalakshmi, B., Rajasekar, N. (2018). The Particle Swarm Optimization Algorithm for Maximum Power Extraction of Solar PV Array. In: SenGupta, S., Zobaa, A., Sherpa, K., Bhoi, A. (eds) Advances in Smart Grid and Renewable Energy. Lecture Notes in Electrical Engineering, vol 435. Springer, Singapore. https://doi.org/10.1007/978-981-10-4286-7_5

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  • DOI: https://doi.org/10.1007/978-981-10-4286-7_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4285-0

  • Online ISBN: 978-981-10-4286-7

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