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Hybrid Pitch Angle Controller Approaches for Stable Wind Turbine Power under Variable Wind Speed

Author

Listed:
  • Md Rasel Sarkar

    (Department of Electrical and Electronic Engineering, Faculty of Science and Engineering, World University of Bangladesh, Dhaka 1205, Bangladesh
    Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Sabariah Julai

    (Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Chong Wen Tong

    (Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Moslem Uddin

    (Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Teknologi Petronas, Seri Iskandar, Tronoh 32610, Perak, Malaysia)

  • M.F. Romlie

    (Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Teknologi Petronas, Seri Iskandar, Tronoh 32610, Perak, Malaysia)

  • GM Shafiullah

    (Discipline of Engineering and Energy, College of Science, Health, Engineering and Education, Murdoch University, Murdoch, WA 6150, Australia)

Abstract

The production of maximum wind energy requires controlling various parts of medium to large-scale wind turbines (WTs). This paper presents a robust pitch angle control system for the rated wind turbine power at a wide range of simulated wind speeds by means of a proportional–integral–derivative (PID) controller. In addition, ant colony optimization (ACO), particle swarm optimization (PSO), and classical Ziegler–Nichols (Z-N) algorithms have been used for tuning the PID controller parameters to obtain within rated stable output power of WTs from fluctuating wind speeds. The proposed system is simulated under fast wind speed variation, and its results are compared with those of the PID-ZN controller and PID-PSO to verify its effeteness. The proposed approach contains several benefits including simple implementation, as well as tolerance of turbine parameters and several nonparametric uncertainties. Robust control of the generator output power with wind-speed variations can also be considered a significant advantage of this strategy. Theoretical analyses, as well as simulation results, indicate that the proposed controller can perform better in a wide range of wind speed compared with the PID-ZN and PID-PSO controllers. The WT model and hybrid controllers (PID-ACO and PID-PSO) have been developed in MATLAB/Simulink with validated controller models. The hybrid PID-ACO controller was found to be the most suitable in comparison to the PID-PSO and conventional PID. The root mean square (RMS) error calculated between the desired power and the WT’s output power with PID-ACO is found to be 0.00036, which is the smallest result among the studied controllers.

Suggested Citation

  • Md Rasel Sarkar & Sabariah Julai & Chong Wen Tong & Moslem Uddin & M.F. Romlie & GM Shafiullah, 2020. "Hybrid Pitch Angle Controller Approaches for Stable Wind Turbine Power under Variable Wind Speed," Energies, MDPI, vol. 13(14), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:14:p:3622-:d:384335
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    References listed on IDEAS

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    1. Assareh, Ehsanolah & Biglari, Mojtaba, 2015. "A novel approach to capture the maximum power from variable speed wind turbines using PI controller, RBF neural network and GSA evolutionary algorithm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1023-1037.
    2. Lanzafame, R. & Messina, M., 2010. "Horizontal axis wind turbine working at maximum power coefficient continuously," Renewable Energy, Elsevier, vol. 35(1), pages 301-306.
    3. Yu-Jen Chen & Y. C. Shiah, 2016. "Experiments on the Performance of Small Horizontal Axis Wind Turbine with Passive Pitch Control by Disk Pulley," Energies, MDPI, vol. 9(5), pages 1-13, May.
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    8. Srikanth Bashetty & Joaquin I. Guillamon & Shanmukha S. Mutnuri & Selahattin Ozcelik, 2020. "Design of a Robust Adaptive Controller for the Pitch and Torque Control of Wind Turbines," Energies, MDPI, vol. 13(5), pages 1-22, March.
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