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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Smart Grids
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1505419
This article is part of the Research Topic Advanced Modeling and Methods for Renewable-dominated Power Systems Operations under Multiple Uncertainties View all 11 articles

Hybrid MPPT control using Hybrid Pelican Optimization Algorithm with Perturb & Observe for PV Connected Grid

Provisionally accepted
Burhan U Din Abdullah Burhan U Din Abdullah 1Suman Lata Dhar Suman Lata Dhar 1*Shiva Pujan Jaiswal Shiva Pujan Jaiswal 1Muhammad Majid Gulzar Muhammad Majid Gulzar 2,3*Mohammed Alqahtani Mohammed Alqahtani 4Muhammad Khalid Muhammad Khalid 5
  • 1 Sharda University, Greater Noida, India
  • 2 King Fahd University of Petroleum and Minerals, Dhahran, Ash Sharqiyah, Saudi Arabia
  • 3 Interdisciplinary Research Centre for Membranes and Water Security, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
  • 4 College of Engineering, King Khalid University, Abha, Saudi Arabia
  • 5 Department of Electrical Engineering, College of Engineering and Applied Engineering, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

The final, formatted version of the article will be published soon.

    Photovoltaic systems offer immense potential as a future energy source, yet maximizing their efficiency presents challenges, notably in achieving optimal voltage due to their nonlinear behavior. Operating current and voltage fluctuations, driven by temperature and radiation changes, significantly impact power output. Traditional Maximum Power Point Tracking (MPPT) methods struggle to adapt accurately to these dynamic environmental conditions. While Artificial Intelligence (AI) and optimization techniques show promise, their implementation complexity and longer attainment times for Maximum PowerPoint (MPP) hinder widespread adoption. This paper proposes a hybrid MPPT technique that integrates the Pelican Optimization algorithm (POA) with the Perturb and Observe algorithm (P&O) for a grid-connected photovoltaic system (PV). The proposed technique consists of two loops: PO as the reference point setting loop (inner loop) and POA as a fine-tuning (outer)loop. The combination of inner and outer loops minimizes oscillations by adjusting the perturbation direction and enhancing the convergence speed of the MPPT. To validate the efficacy of the proposed MPPT technique for different environmental conditions, a comprehensive comparison is conducted between the proposed hybrid pelican and perturb and observe (HPPO) technique and other MPPT algorithms. The proposed technique has optimized PV and grid outputs with an MPPT efficiency of 99%, best tracking speed, and total harmonic distortion (THD) for all conditions below 5% agree with IEEE 519 standards.

    Keywords: Pelican Optimization Algorithm, Perturb and observe algorithm, Hybrid MPPT, Gridlinked Photovoltaic System, Power system

    Received: 02 Oct 2024; Accepted: 26 Nov 2024.

    Copyright: © 2024 Abdullah, Dhar, Jaiswal, Gulzar, Alqahtani and Khalid. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Suman Lata Dhar, Sharda University, Greater Noida, India
    Muhammad Majid Gulzar, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Ash Sharqiyah, Saudi Arabia

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