Hybrid MPPT control using hybrid pelican optimization algorithm with perturb and observe for PV connected grid Article Swipe
Burhan U Din Abdullah
,
Suman Lata Dhar
,
Shiva Pujan Jaiswal
,
Muhammad Majid Gulzar
,
Mohammed Alqahtani
,
Muhammad Khalid
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fenrg.2024.1505419
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fenrg.2024.1505419
Introduction 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 Power Point (MPP) hinder widespread adoption. Method 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. Results and Discussion 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.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fenrg.2024.1505419
- https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2024.1505419/pdf
- OA Status
- gold
- Cited By
- 5
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406056057
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- OpenAlex ID
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https://openalex.org/W4406056057Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fenrg.2024.1505419Digital Object Identifier
- Title
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Hybrid MPPT control using hybrid pelican optimization algorithm with perturb and observe for PV connected gridWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-03Full publication date if available
- Authors
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Burhan U Din Abdullah, Suman Lata Dhar, Shiva Pujan Jaiswal, Muhammad Majid Gulzar, Mohammed Alqahtani, Muhammad KhalidList of authors in order
- Landing page
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https://doi.org/10.3389/fenrg.2024.1505419Publisher landing page
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https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2024.1505419/pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2024.1505419/pdfDirect OA link when available
- Concepts
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Photovoltaic system, Maximum power point tracking, Grid, Control theory (sociology), Optimization algorithm, Control (management), Computer science, Algorithm, Engineering, Mathematical optimization, Mathematics, Electrical engineering, Artificial intelligence, Voltage, Inverter, GeometryTop concepts (fields/topics) attached by OpenAlex
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5Total citation count in OpenAlex
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2025: 5Per-year citation counts (last 5 years)
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41Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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