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MPPT of Permanent Magnet Synchronous Generator in Tidal Energy Systems Using Support Vector Regression

Author

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  • Ahmed G. Abo-Khalil

    (Department of Electrical Engineering, College of Engineering, Majmaah University, Almajmaah 11952, Saudi Arabia
    Department of Electrical Engineering, College of Engineering, Assuit University, Assuit 71515, Egypt)

  • Ali S. Alghamdi

    (Department of Electrical Engineering, College of Engineering, Majmaah University, Almajmaah 11952, Saudi Arabia)

Abstract

In this paper, an improved Maximum Power Point Tracking (MPPT) algorithm for a tidal power generation system using a Support Vector Regression (SVR) is proposed. To perform this MPPT, a tidal current speed sensor is needed to track the maximum power. The use of these sensors has a lack of reliability, requires maintenance, and has a disadvantage in terms of price. Therefore, there is a need for a sensorless MPPT control algorithm that does not require information on tidal current speed and rotation speed that improves these shortcomings. Sensorless MPPT control methods, such as SVR, enables the maximum power to be output by comparing the relationship between the output power and the rotational speed of the generator. The performance of the SVR is influenced by the selection of its parameters which is optimized during the offline training stage. SVR has a strength and better response than the neural network since it ensures the global minimum and avoids being stuck at local minima. This paper proposes a high-efficiency grid-connected tidal current generation system with a permanent magnet synchronous generator back-to-back converter. The proposed algorithm is verified experimentally and the results confirm the excellent control characteristics of the proposed algorithm.

Suggested Citation

  • Ahmed G. Abo-Khalil & Ali S. Alghamdi, 2021. "MPPT of Permanent Magnet Synchronous Generator in Tidal Energy Systems Using Support Vector Regression," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:2223-:d:501868
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    References listed on IDEAS

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    1. Ahmed G. Abo-Khalil & Ali M. Eltamaly & Praveen R.P. & Ali S. Alghamdi & Iskander Tlili, 2020. "A Sensorless Wind Speed and Rotor Position Control of PMSG in Wind Power Generation Systems," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    2. Myers, L. & Bahaj, A.S., 2006. "Power output performance characteristics of a horizontal axis marine current turbine," Renewable Energy, Elsevier, vol. 31(2), pages 197-208.
    3. Ali Mohamed Eltamaly & Mamdooh Al-Saud & Khairy Sayed & Ahmed G. Abo-Khalil, 2020. "Sensorless Active and Reactive Control for DFIG Wind Turbines Using Opposition-Based Learning Technique," Sustainability, MDPI, vol. 12(9), pages 1-14, April.
    4. Uihlein, Andreas & Magagna, Davide, 2016. "Wave and tidal current energy – A review of the current state of research beyond technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1070-1081.
    5. Ahmed G. Abo-Khalil & Ali S. Alghamdi & Ali M. Eltamaly & M. S. Al-Saud & Praveen R. P. & Khairy Sayed & G. R. Bindu & Iskander Tlili, 2019. "Design of State Feedback Current Controller for Fast Synchronization of DFIG in Wind Power Generation Systems," Energies, MDPI, vol. 12(12), pages 1-26, June.
    6. Ahmed G. Abo-Khalil & Saeed Alyami & Khairy Sayed & Ayman Alhejji, 2019. "Dynamic Modeling of Wind Turbines Based on Estimated Wind Speed under Turbulent Conditions," Energies, MDPI, vol. 12(10), pages 1-25, May.
    7. Ahmed Abo-Khalil, 2013. "Impacts of Wind Farms on Power System Stability," Chapters, in: S. M. Muyeen & Ahmed Al-Durra (ed.), Modeling and Control Aspects of Wind Power Systems, IntechOpen.
    8. Segura, E. & Morales, R. & Somolinos, J.A. & López, A., 2017. "Techno-economic challenges of tidal energy conversion systems: Current status and trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 536-550.
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    Cited by:

    1. Erol Kurt & Davut Özhan & Nicu Bizon & Jose Manuel Lopez-Guede, 2021. "Design and Implementation of a Maximum Power Point Tracking System for a Piezoelectric Wind Energy Harvester Generating High Harmonicity," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    2. Ahmed G. Abo-Khalil & Mohammad Alobaid, 2023. "Optimized Control for PMSG Wind Turbine Systems under Unbalanced and Distorted Grid Voltage Scenarios," Sustainability, MDPI, vol. 15(12), pages 1-21, June.
    3. Gang Li & Weidong Zhu, 2022. "A Review on Up-to-Date Gearbox Technologies and Maintenance of Tidal Current Energy Converters," Energies, MDPI, vol. 15(23), pages 1-24, December.

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