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Stability Analysis and Design of Variable Step-Size P&O Algorithm Based on Fuzzy Robust Tracking of MPPT for Standalone/Grid Connected Power System

Author

Listed:
  • Daud Sibtain

    (Department of Electrical Engineering, University of Central Punjab, Lahore 54000, Pakistan)

  • Muhammad Majid Gulzar

    (Department of Electrical Engineering, University of Central Punjab, Lahore 54000, Pakistan)

  • Kamal Shahid

    (Institute of Electrical, Electronics and Computer Engineering, University of the Punjab, Lahore 54590, Pakistan)

  • Imran Javed

    (Department of Electrical Engineering, Narowal Campus, University of Engineering and Technology Lahore, Narowal 39161, Pakistan)

  • Sadia Murawwat

    (Department of Electrical Engineering, Lahore College for Women University, Lahore 54000, Pakistan)

  • Muhammad Majid Hussain

    (Department of Electrical and Electronic Engineering, University of South Wales, Pontypridd CF37 1DL, UK)

Abstract

This research aims to design a modified P&O algorithm for the efficient tracking of maximum power point (MPPT) for standalone and grid-connected systems. The proposed research work modifies the P&O algorithm for the dc-dc converter where the fixed step size P&O algorithm is translated into variable step size with the help of ant colony optimization (ACO) to generate optimal parameters for the PID controller to generate a variable step size in the P&O algorithm. This variable step size is dependent upon the error that is the difference between the generated power and desired power. By doing this it improves the efficiency of the P&O algorithm and its limitations are overcome. Furthermore, the PV is extended to connect with a grid where the inverter is controlled by a fuzzy logic controller (FLC) so that the combined structure of variable P&O and fuzzy helps to achieve MPP efficiently. The robustness of the proposed work is compared with other state-of-the-art controllers to justify the effectiveness of the proposed work. Finally, a stability test of the system is carried out to verify the overall stability of the power system.

Suggested Citation

  • Daud Sibtain & Muhammad Majid Gulzar & Kamal Shahid & Imran Javed & Sadia Murawwat & Muhammad Majid Hussain, 2022. "Stability Analysis and Design of Variable Step-Size P&O Algorithm Based on Fuzzy Robust Tracking of MPPT for Standalone/Grid Connected Power System," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:8986-:d:868935
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    References listed on IDEAS

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    1. Xinwu Hu & Pengcheng Luo & Xiaonan Zhang & Jun Wang, 2018. "Improved Ant Colony Optimization for Weapon-Target Assignment," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-14, October.
    2. Khan, Anwar & Chenggang, Yang & Hussain, Jamal & Kui, Zhou, 2021. "Impact of technological innovation, financial development and foreign direct investment on renewable energy, non-renewable energy and the environment in belt & Road Initiative countries," Renewable Energy, Elsevier, vol. 171(C), pages 479-491.
    3. Nahas, Nabil & Nourelfath, Mustapha & Ait-Kadi, Daoud, 2007. "Coupling ant colony and the degraded ceiling algorithm for the redundancy allocation problem of series–parallel systems," Reliability Engineering and System Safety, Elsevier, vol. 92(2), pages 211-222.
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