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Maximum Power Point Tracking for Photovoltaic Systems Operating under Partially Shaded Conditions Using SALP Swarm Algorithm

Author

Listed:
  • Lilia Tightiz

    (School of Computing, Gachon University, 1342 Seongnamdaero, Seongnam 13120, Korea)

  • Saeedeh Mansouri

    (Faculty of Electrical and Computer Engineering, Babol Noushirvaniy University of Technology, Babol 4714873113, Iran)

  • Farhad Zishan

    (Department of Electrical Engineering, Sahand University of Technology, Tabriz 5513351996, Iran)

  • Joon Yoo

    (School of Computing, Gachon University, 1342 Seongnamdaero, Seongnam 13120, Korea)

  • Nima Shafaghatian

    (Electrical Engineering Departments, Zanjan University, Zanja 387914537, Iran)

Abstract

This article presents a new method based on meta-heuristic algorithm for maximum power point tracking (MPPT) in photovoltaic systems. In this new method, the SALP Swarm Algorithm (SSA) is used instead of classic methods such as the Perturb and Observe (P&O) method. In this method, the value of the duty cycle is optimally determined in an optimization problem by SSA in order to track the maximum power. The objective function in this problem is maximizing the output power of the photovoltaic system. The proposed method has been applied on a photovoltaic system connected to the load, taking into account the effect of partial shade and different atmospheric conditions. The SSA method is compared with the Particle Swarm Optimization (PSO) algorithm and P&O methods. Additionally, we evaluated the effect of changes in temperature and radiation on solving the problem. The results of the simulation in the MATLAB/Simulink environment show the optimal performance of the proposed method in tracking the maximum power in different atmospheric conditions compared to other methods. To validate the proposed algorithm, it is compared with four important indexes: ISE, ITSE, IAE, and ITAE.

Suggested Citation

  • Lilia Tightiz & Saeedeh Mansouri & Farhad Zishan & Joon Yoo & Nima Shafaghatian, 2022. "Maximum Power Point Tracking for Photovoltaic Systems Operating under Partially Shaded Conditions Using SALP Swarm Algorithm," Energies, MDPI, vol. 15(21), pages 1-17, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:8210-:d:962599
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    References listed on IDEAS

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    1. Catalina González-Castaño & Carlos Restrepo & Javier Revelo-Fuelagán & Leandro L. Lorente-Leyva & Diego H. Peluffo-Ordóñez, 2021. "A Fast-Tracking Hybrid MPPT Based on Surface-Based Polynomial Fitting and P&O Methods for Solar PV under Partial Shaded Conditions," Mathematics, MDPI, vol. 9(21), pages 1-23, October.
    2. Kamran Ali & Laiq Khan & Qudrat Khan & Shafaat Ullah & Saghir Ahmad & Sidra Mumtaz & Fazal Wahab Karam & Naghmash, 2019. "Robust Integral Backstepping Based Nonlinear MPPT Control for a PV System," Energies, MDPI, vol. 12(16), pages 1-20, August.
    3. Li, Guiqiang & Li, Jinpeng & Yang, Ruoxi & Chen, Xiangjie, 2022. "Performance analysis of a hybrid hydrogen production system in the integrations of PV/T power generation electrolytic water and photothermal cooperative reaction," Applied Energy, Elsevier, vol. 323(C).
    4. Zhou, Bochao & Pei, Jianzhong & Calautit, John Kaiser & Zhang, Jiupeng & Yong, Ling Xin & Pantua, Conrad Allan Jay, 2022. "Analysis of mechanical response and energy efficiency of a pavement integrated photovoltaic/thermal system (PIPVT)," Renewable Energy, Elsevier, vol. 194(C), pages 1-12.
    5. Sajid Sarwar & Muhammad Yaqoob Javed & Mujtaba Hussain Jaffery & Muhammad Saqib Ashraf & Muhammad Talha Naveed & Muhammad Annas Hafeez, 2022. "Modular Level Power Electronics (MLPE) Based Distributed PV System for Partial Shaded Conditions," Energies, MDPI, vol. 15(13), pages 1-39, June.
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    Cited by:

    1. Lu Liu & Yun Zeng, 2023. "Intelligent ISSA-Based Non-Singular Terminal Sliding-Mode Control of DC–DC Boost Converter Feeding a Constant Power Load System," Energies, MDPI, vol. 16(13), pages 1-23, June.
    2. Fatemeh Jamshidi & Mohammad Reza Salehizadeh & Reza Yazdani & Brian Azzopardi & Vibhu Jately, 2023. "An Improved Sliding Mode Controller for MPP Tracking of Photovoltaics," Energies, MDPI, vol. 16(5), pages 1-20, March.

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