Automatic Step Size Selection of the PO MPPT Algorithm to Improve Wind Power Generation

Authors

  • Andi Nur Putri Department of Electrical Engineering, Faculty of Intelligent Electrical and Informatics Technology, Institut Teknologi Sepuluh Nopember, Indonesia
  • Ontoseno Penangsang Department of Electrical Engineering, Faculty of Intelligent Electrical and Informatics Technology, Institut Teknologi Sepuluh Nopember, Indonesia
  • Adi Soeprijanto Department of Electrical Engineering, Faculty of Intelligent Electrical and Informatics Technology, Institut Teknologi Sepuluh Nopember, Indonesia
  • Indri Suryawati Department of Electrical Engineering, Faculty of Engineering, Universitas Semarang, Indonesia
  • Irwan Syarif Department of Electrical Engineering, Faculty of Engineering and Informatic, Universitas Patria Artha, Indonesia
  • Muhammad Rais Department of Electrical Engineering, Faculty of Engineering and Informatic, Universitas Patria Artha, Indonesia
Volume: 14 | Issue: 6 | Pages: 18923-18928 | December 2024 | https://doi.org/10.48084/etasr.9101

Abstract

Perturb and Observe (P&O) is a commonly used algorithm for Maximum Power Point Tracking (MPPT) in wind turbines. MPPT plays a critical role in enhancing wind turbine efficiency by dynamically adjusting operating parameters to adapt to fluctuating wind conditions. Although P&O is favored for its simplicity and adaptability, its performance is hindered by step size selection issues, which lead to inefficiency, oscillations, and slow convergence. To overcome these limitations, this research proposes a modified P&O algorithm that automates step size selection based on divided sectors of wind speed and normalized power in region two. Additionally, an integration of the pitch-angle control from region three was employed to maintain the optimal power output under variable wind conditions. The proposed approach reduces tracking time, minimizes perturbation errors, and ensures a stable power output. The proposed modifications enhance the efficiency and reliability of Wind Energy Conversion Systems (WECS) by addressing the shortcomings of the conventional P&O methods.

Keywords:

wind turbine, modified MPPT, pitch angle

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References

M. L. Katche, A. B. Makokha, S. O. Zachary, and M. S. Adaramola, "A Comprehensive Review of Maximum Power Point Tracking (MPPT) Techniques Used in Solar PV Systems," Energies, vol. 16, no. 5, Jan. 2023, Art. no. 2206.

M. Barzegar-Kalashani, M. Seyedmahmoudian, S. Mekhilef, A. Stojcevski, and B. Horan, "Small-scale wind turbine control in high-speed wind conditions: A review," Sustainable Energy Technologies and Assessments, vol. 60, Dec. 2023, Art. no. 103577.

X. Zhang, J. Jia, L. Zheng, W. Yi, and Z. Zhang, "Maximum power point tracking algorithms for wind power generation system: Review, comparison and analysis," Energy Science & Engineering, vol. 11, no. 1, pp. 430–444, 2023.

H. Shutari, T. Ibrahim, N. B. Mohd Nor, N. Saad, M. F. N. Tajuddin, and H. Q. A. Abdulrab, "Development of a Novel Efficient Maximum Power Extraction Technique for Grid-Tied VSWT System," IEEE Access, vol. 10, pp. 101922–101935, 2022.

H. Gaied et al., "Comparative analysis of MPPT techniques for enhancing a wind energy conversion system," Frontiers in Energy Research, vol. 10, Aug. 2022, Art. no. 975134.

A. Mansouri, A. E. Magri, R. Lajouad, I. E. Myasse, E. K. Younes, and F. Giri, "Wind energy based conversion topologies and maximum power point tracking: A comprehensive review and analysis," e-Prime - Advances in Electrical Engineering, Electronics and Energy, vol. 6, Dec. 2023, Art. no. 100351.

R. I. Putri, M. Pujiantara, A. Priyadi, T. Ise, and M. H. Purnomo, "Maximum power extraction improvement using sensorless controller based on adaptive perturb and observe algorithm for PMSG wind turbine application," IET Electric Power Applications, vol. 12, no. 4, pp. 455–462, 2018.

K. Saidi, M. Maamoun, and M. Bounekhla, "A new high performance variable step size perturb-and-observe MPPT algorithm for photovoltaic system," International Journal of Power Electronics and Drive Systems, vol. 10, no. 3, pp. 1662–1674, Sep. 2019.

R. Masmoudi, I. Boulhares, and A. Necaibia, "A new approach of variable step-size maximum power point tracking algorithm used in photovoltaic systems," Indonesian Journal of Electrical Engineering and Computer Science, vol. 28, no. 1, pp. 21–29, Oct. 2022.

B. Meghni, M. Ouada, and S. Saad, "A novel improved variable-step-size P&O MPPT method and effective supervisory controller to extend optimal energy management in hybrid wind turbine," Electrical Engineering, vol. 102, no. 2, pp. 763–778, Jun. 2020.

B. A. Bastiani and R. V. de Oliveira, "Adaptive MPPT control applied to virtual synchronous generator to extend the inertial response of type-4 wind turbine generators," Sustainable Energy, Grids and Networks, vol. 27, Sep. 2021, Art. no. 100504.

Md. M. Rana, Md. R. Ali, A. K. Ajad, and Md. Moznuzzaman, "Analysis of P&O and INC MPPT Techniques for PV Array Using MATLAB," IOSR Journal of Electrical and Electronics Engineering, vol. 11, no. 4, pp. 80–86, Apr. 2016.

M. Y. Allani, D. Mezghani, F. Tadeo, and A. Mami, "FPGA Implementation of a Robust MPPT of a Photovoltaic System Using a Fuzzy Logic Controller Based on Incremental and Conductance Algorithm," Engineering, Technology & Applied Science Research, vol. 9, no. 4, pp. 4322–4328, Aug. 2019.

E. Akbari and M. S. Shadlu, "Maximum Power Point Tracking-Based Control Strategy for PMSG Wind Energy Conversion System Using a Combined Fuzzy-Model Predictive Controller," in 2023 14th Power Electronics, Drive Systems, and Technologies Conference, Jan. 2023, pp. 1–6.

I. Toumi, A. Boulmaiz, B. Meghni, and O. Hachana, "Robust variable step P&O algorithm based MPPT for PMSG wind generation system using estimated wind speed compensation technique," Sustainable Energy Technologies and Assessments, vol. 60, Dec. 2023, Art. no. 103420.

Q.-V. Ngo and T.-T. Nguyen, "The MPPT algorithm combined with pitch angle control for the small-scale wind turbine in a wide speed range," International Journal of Power Electronics and Drive Systems, vol. 12, no. 3, pp. 1482–1493, Sep. 2021.

K. B. Thapa and K. Jayasawal, "Pitch Control Scheme for Rapid Active Power Control of a PMSG-Based Wind Power Plant," IEEE Transactions on Industry Applications, vol. 56, no. 6, pp. 6756–6766, Nov. 2020.

R. Moutchou and A. Abbou, "MPPT and Pitch Angle Control of a Permanent Magnet Synchronous Generator based Wind Emulator," presented at the 1st International Conference of Computer Science and Renewable Energies, Ouarzazate, Morocco, Nov. 2024, pp. 383–390.

F. Hao, P. Lei, P. Xiu-fang, and Z. Tian-wei, "Coordinated Control Strategy of MPPT and Pitch angle of Wind Turbine Generator Based on Neural Network," in 2019 IEEE Sustainable Power and Energy Conference, Nov. 2019, pp. 99–104.

X. Jiao, G. Wang, X. Wang, Z. Zhang, Y. Tian, and X. Fan, "Anti-Windup Pitch Angle Control for Wind Turbines Based on Bounded Uncertainty and Disturbance Estimator," Journal of Marine Science and Engineering, vol. 12, no. 3, Mar. 2024, Art. no. 473.

H. Bassi and Y. A. Mobarak, "State-Space Modeling and Performance Analysis of Variable-Speed Wind Turbine Based on a Model Predictive Control Approach," Engineering, Technology & Applied Science Research, vol. 7, no. 2, pp. 1436–1443, Apr. 2017.

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How to Cite

[1]
Putri, A.N., Penangsang, O., Soeprijanto, A., Suryawati, I., Syarif, I. and Rais, M. 2024. Automatic Step Size Selection of the PO MPPT Algorithm to Improve Wind Power Generation. Engineering, Technology & Applied Science Research. 14, 6 (Dec. 2024), 18923–18928. DOI:https://doi.org/10.48084/etasr.9101.

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