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MPPT of a Partially Shaded Photovoltaic Module by Ant Lion Optimizer

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Advances in Swarm Intelligence (ICSI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9712))

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Abstract

This paper is mainly focused on the maximum power point tracking of a photovoltaic module under non uniform solar irradiation level. In such a case multiple local maximum power points are observed but only one global maximum power point exists. In this paper, the Ant Lion Optimizer algorithm is adopted to find the global maximum power point of a partially shaded photovoltaic module. The simulation results show that the performance of the Ant Lion Optimizer is better than the perturbation & observation algorithm in detecting the global maxima of a partially shaded photovoltaic module.

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References

  1. Patel, H., Agarwal, V.: MATLAB-based modeling to study the effects of partial shading on PV array characteristics. IEEE Trans. Energy Convers. 23(1), 10–302 (2008)

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  2. Mirjalili, S.: The ant lion optimizer. Adv. Eng. Softw. 83, 80–98 (2015)

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  3. The MathWorks Inc. http://www.mathworks.com/examples/simpower/mw/sps_product-power_PVArray_PartialShading-partial-shading-of-a-pv-module?s_tid=srchtitle

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Acknowledgments

The authors wish also to thank Daniel Foty and the reviewers for valuable comments.

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Authors and Affiliations

  1. Katanov State University of Khakassia, Shetinkina, 61, 655017, Abakan, Russian Federation

    Ekaterina A. Engel

  2. Siberian State Aerospace University, Krasnoyarsky Rabochy Avenue 31, 660014, Krasnoyarsk, Russian Federation

    Igor V. Kovalev

Authors
  1. Ekaterina A. Engel
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  2. Igor V. Kovalev
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Corresponding author

Correspondence to Ekaterina A. Engel .

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Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Xi'an Jiaotong-Liverpool University, Suzhou, China

    Yuhui Shi

  3. Shenzhen University, Shenzhen, China

    Ben Niu

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© 2016 Springer International Publishing Switzerland

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Engel, E.A., Kovalev, I.V. (2016). MPPT of a Partially Shaded Photovoltaic Module by Ant Lion Optimizer. In: Tan, Y., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2016. Lecture Notes in Computer Science(), vol 9712. Springer, Cham. https://doi.org/10.1007/978-3-319-41000-5_45

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  • DOI: https://doi.org/10.1007/978-3-319-41000-5_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40999-3

  • Online ISBN: 978-3-319-41000-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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