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International Conference on Advanced Intelligent Systems and Informatics

AISI 2019: Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019 pp 125–135Cite as

PSO-Based Adaptive Perturb and Observe MPPT Technique for Photovoltaic Systems

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1058))

Abstract

The classical method of perturb and observe (P&O) is mostly utilized because of it is simple technique, ease of implementation and low cost. Although, it has high oscillations around maximum power point (MPP) at steady state due to perturbation and challenge between step size and the convergence time. To avoid the drawbacks of classical P&O methods, this paper presents adaptive P&O using optimized proportional integral (PI) controller by particle swarm optimization (PSO) algorithm. To evaluate the proposed method, a PV system model is designed with different scenarios under various weather conditions. For each scenario, simulations are carried out and the results are compared with the other classical P&O MPPT methods. The results revealed that the proposed PSO-PI-P&O MPPT method improved the tracking performance, response to the fast changing weather conditions and also has less oscillation around MPP as compared to the classical P&O methods.

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Acknowledgement

The authors would like to thank Prince Sultan University, Riyadh, KSA for supporting this work.

Author information

Authors and Affiliations

  1. Electrical Power and Machine Department, Faculty of Engineering, Cairo University, Giza, Egypt

    Nashwa Ahmad Kamal & Ghada Said Elbasuony

  2. College of Engineering, Prince Sultan University, Riyadh, Kingdom of Saudi Arabia

    Ahmad Taher Azar & Dhafer Almakhles

  3. Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt

    Ahmad Taher Azar

  4. College of Computer Science and Information Systems (CCIS), Prince Sultan University, Riyadh, Kingdom of Saudi Arabia

    Khaled Mohamad Almustafa

Authors
  1. Nashwa Ahmad Kamal
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  2. Ahmad Taher Azar
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  3. Ghada Said Elbasuony
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  4. Khaled Mohamad Almustafa
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  5. Dhafer Almakhles
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Corresponding author

Correspondence to Ahmad Taher Azar .

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Editors and Affiliations

  1. Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  3. Ain Shams University, Cairo, Egypt

    Mohamed Fahmy Tolba

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Kamal, N.A., Azar, A.T., Elbasuony, G.S., Almustafa, K.M., Almakhles, D. (2020). PSO-Based Adaptive Perturb and Observe MPPT Technique for Photovoltaic Systems. In: Hassanien, A., Shaalan, K., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019. AISI 2019. Advances in Intelligent Systems and Computing, vol 1058. Springer, Cham. https://doi.org/10.1007/978-3-030-31129-2_12

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