A novel modified sine-cosine optimized MPPT algorithm for grid integrated PV system under real operating conditions

Sanjeevikumar Padmanaban, Neeraj Priyadarshi, Jens Bo Holm-Nielsen, Mahajan Sagar Bhaskar, Farooque Azam, Amarjeet Kumar Sharma, Eklas Hossain

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Resumé

This research work presents a modified sine-cosine optimized maximum power point tracking (MPPT) algorithm for grid integration. The developed algorithm provides the maximum power extraction from a photovoltaic (PV) panel and simplified implementation with a benefit of high convergence velocity. Moreover, the performance and ability of the modified sine-cosine optimized (MSCO) algorithm is equated with recent particle swarm optimization and artificial bee colony algorithms for comparative observation. Practical responses is analyzed under steady state, dynamic, and partial shading conditions by using dSPACE real controlling board laboratory scale hardware implementation. The MSCO-based MPPT algorithm always shows fast convergence rate, easy implementation, less computational burden and the accuracy to track the optimal PV power under varying weather conditions. The experimental results provided in this paper clearly show the validation of the proposed algorithm.
OriginalsprogEngelsk
Artikelnummer8598859
TidsskriftIEEE Access
Vol/bind7
Sider (fra-til)10467-10477
Antal sider11
ISSN2169-3536
DOI
StatusUdgivet - jan. 2019

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Particle swarm optimization (PSO)
Hardware

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    Padmanaban, Sanjeevikumar ; Priyadarshi, Neeraj ; Holm-Nielsen, Jens Bo ; Sagar Bhaskar, Mahajan ; Azam, Farooque ; Sharma, Amarjeet Kumar ; Hossain, Eklas. / A novel modified sine-cosine optimized MPPT algorithm for grid integrated PV system under real operating conditions. I: IEEE Access. 2019 ; Bind 7. s. 10467-10477.
    @article{9e931aef1973432c8c6cecffe948bef1,
    title = "A novel modified sine-cosine optimized MPPT algorithm for grid integrated PV system under real operating conditions",
    abstract = "This research work presents a modified sine-cosine optimized maximum power point tracking (MPPT) algorithm for grid integration. The developed algorithm provides the maximum power extraction from a photovoltaic (PV) panel and simplified implementation with a benefit of high convergence velocity. Moreover, the performance and ability of the modified sine-cosine optimized (MSCO) algorithm is equated with recent particle swarm optimization and artificial bee colony algorithms for comparative observation. Practical responses is analyzed under steady state, dynamic, and partial shading conditions by using dSPACE real controlling board laboratory scale hardware implementation. The MSCO-based MPPT algorithm always shows fast convergence rate, easy implementation, less computational burden and the accuracy to track the optimal PV power under varying weather conditions. The experimental results provided in this paper clearly show the validation of the proposed algorithm.",
    keywords = "Artificial bee colony, Maximum power point tracking, Particle swarm optimization, Photovoltaic, Sine-cosine optimized",
    author = "Sanjeevikumar Padmanaban and Neeraj Priyadarshi and Holm-Nielsen, {Jens Bo} and {Sagar Bhaskar}, Mahajan and Farooque Azam and Sharma, {Amarjeet Kumar} and Eklas Hossain",
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    A novel modified sine-cosine optimized MPPT algorithm for grid integrated PV system under real operating conditions. / Padmanaban, Sanjeevikumar; Priyadarshi, Neeraj; Holm-Nielsen, Jens Bo; Sagar Bhaskar, Mahajan; Azam, Farooque; Sharma, Amarjeet Kumar; Hossain, Eklas.

    I: IEEE Access, Bind 7, 8598859, 01.2019, s. 10467-10477.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

    TY - JOUR

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    AU - Padmanaban, Sanjeevikumar

    AU - Priyadarshi, Neeraj

    AU - Holm-Nielsen, Jens Bo

    AU - Sagar Bhaskar, Mahajan

    AU - Azam, Farooque

    AU - Sharma, Amarjeet Kumar

    AU - Hossain, Eklas

    PY - 2019/1

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    N2 - This research work presents a modified sine-cosine optimized maximum power point tracking (MPPT) algorithm for grid integration. The developed algorithm provides the maximum power extraction from a photovoltaic (PV) panel and simplified implementation with a benefit of high convergence velocity. Moreover, the performance and ability of the modified sine-cosine optimized (MSCO) algorithm is equated with recent particle swarm optimization and artificial bee colony algorithms for comparative observation. Practical responses is analyzed under steady state, dynamic, and partial shading conditions by using dSPACE real controlling board laboratory scale hardware implementation. The MSCO-based MPPT algorithm always shows fast convergence rate, easy implementation, less computational burden and the accuracy to track the optimal PV power under varying weather conditions. The experimental results provided in this paper clearly show the validation of the proposed algorithm.

    AB - This research work presents a modified sine-cosine optimized maximum power point tracking (MPPT) algorithm for grid integration. The developed algorithm provides the maximum power extraction from a photovoltaic (PV) panel and simplified implementation with a benefit of high convergence velocity. Moreover, the performance and ability of the modified sine-cosine optimized (MSCO) algorithm is equated with recent particle swarm optimization and artificial bee colony algorithms for comparative observation. Practical responses is analyzed under steady state, dynamic, and partial shading conditions by using dSPACE real controlling board laboratory scale hardware implementation. The MSCO-based MPPT algorithm always shows fast convergence rate, easy implementation, less computational burden and the accuracy to track the optimal PV power under varying weather conditions. The experimental results provided in this paper clearly show the validation of the proposed algorithm.

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    KW - Maximum power point tracking

    KW - Particle swarm optimization

    KW - Photovoltaic

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