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ARCHIMEDES OPTIMIZATION ALGORITHM-BASED PITCH ANGLE CONTROL IN WIND ENERGY SYSTEMS

Year 2024, Volume: 10 Issue: 2, 151 - 166, 30.12.2024
https://doi.org/10.51477/mejs.1591919

Abstract

Variable-speed wind energy systems equipped with permanent magnet synchronous generators (PMSGs) have become a common configuration in wind energy industry. Appropriate pitch angle control is designed to limit the output power of the system by adjusting the pitch angle of the wind turbine blades at higher wind speeds. This approach reduces mechanical stress on the turbine, extends its operating speed range, and increases the overall lifespan. Intelligent control methods, such as optimization algorithms, are notable for their fast and reliable control performance; however, their use in pitch angle control applications remains relatively limited. In this study, a pitch angle control based on the Archimedes Optimization Algorithm (AOA) was developed and analyzed using MATLAB/Simulink. The proposed control system demonstrated fast and stable performance at higher wind speeds. Additionally, the control mechanism was set to deactivated at lower wind speeds to optimize energy efficiency for varying conditions. When compared to other conventional control methods, alternative approaches generally achieve an average accuracy of %75 to %80. However, the proposed control method performed a significantly faster convergence speed and achieved an accuracy rate exceeding %90.

References

  • Yakob Kiros Teklehaimanot, F. K. Akingbade, B. C. Ubochi, and T. O. Ale, “A review and comparative analysis of maximum power point tracking control algorithms for wind energy conversion systems,” International Journal of Dynamics and Control, vol. 12, no. 9, pp. 3494–3516, May 2024.
  • Gümüş Bilal, “Integration of Renewable Energy Sources to Power Networks and Smart Grids,” Lecture notes in energy, pp. 81–103, Jan. 2022.
  • Alex, (2024 Nov. 11). “Global Wind Report 2023 - Global Wind Energy Council,” Global Wind Energy Council, Feb. 14, 2023. https://gwec.net/globalwindreport2023/.
  • Kharchouf I., A. Essadki, M. Fdaili, and T. Nasser, “Comparative Study of MPPT and Pitch Angle using PI and Fuzzy Logic Controllers,” 2021 9th International Renewable and Sustainable Energy Conference (IRSEC), 2018.
  • Nguyen H. M. and Naidu D. S., “Advanced control strategies for wind energy systems: An overview,”, 2011.
  • Gajewski P. and Pieńkowski K., “Advanced control of direct-driven PMSG generator in wind turbine system,” Archives of Electrical Engineering, vol. 65, no. 4, pp. 643–656, 2016.
  • Singh N. and Scholar M. T., “Design and Modeling of Wind Energy Conversion System Based on PMSG Using MPPT Technique,” vol. 5, no. 2, pp. 96–100, 2016.
  • Apata O. and Oyedokun D.T.O., “An overview of control techniques for wind turbine systems,” Scientific African, vol. 10, pp. e00566–e00566, 2020.
  • Elbeji O., Mouna B. hamed, and Lassaad S., “Modeling and control of a variable speed wind turbine,” 2014 5th International Renewable Energy Congress (IREC), pp. 1–5, 2014.
  • Kumar H., Gupta A., Rupendra Kumar Pachauri, and. Chauhan Y. K, “PI/FL based blade pitch angle control for wind turbine used in wind energy conversion system,”, 2015.
  • Wang J., Tse N., and Gao Z., “Synthesis on PI-based pitch controller of large wind turbines generator,” Energy Conversion and Management, vol. 52, no. 2, pp. 1288–1294, 2011.
  • Hwas A. and Katebi R., “Wind Turbine Control Using PI Pitch Angle Controller,” IFAC Proceedings Volumes, vol. 45, no. 3, pp. 241–246, 2012.
  • Perçin H.B. and Çalişkan A., “Modeling And Analysis Of Pitch Angle Control On Variable Speed Wind Turbines,” European Journal of Technic, vol. 11, no. 1, pp. 101–106, 2021.
  • Muhando, E. B., Senjyu, T., Yona, A., Kinjo, H., & Funabashi, T., Disturbance rejection by dual pitch control and self-tuning regulator for wind turbine generator parametric uncertainty compensation. IET Control Theory and Applications, 1(5), 2007.
  • Kim J.-S., Jeon J., and Heo H., “Design of adaptive PID for pitch control of large wind turbine generator” , 2011.
  • Muzakkir Quamar Md, Khan K. A., Liu B., and M. Khalid, “Optimal PID and FOPID Based Pitch Angle Control of Wind Generation System,” pp. 1–6, 2023.
  • Al-Toma, A. S., Taylor, G. A., & Abbod, M., “Intelligent pitch angle control scheme for variable speed wind generator systems”, 2017.
  • Pachauri, R. K., Kumar, H., Gupta, A., & Chauhan, Y. K, “Pitch Angle Controlling of Wind Turbine System Using Proportional-Integral/Fuzzy Logic Controller,” Smart innovation, systems and technologies, pp. 55–63, 2015.
  • Chowdhury, M. A., Hosseinzadeh, N., & Shen, W. X., “Smoothing wind power fluctuations by fuzzy logic pitch angle controller,” Renewable Energy, vol. 38, no. 1, pp. 224–233, 2011.
  • Kamel, R. M., Chaouachi, A., & Nagasaka, K., “Enhancement of micro-grid performance during islanding mode using storage batteries and new fuzzy logic pitch angle controller”, Energy Conversion and Management, vol. 52, no. 5, pp. 2204–2216, 2011.
  • Mousa, N. M., El-Shaer, Y. I., & El-Sebah, M. I. A. “A Proposed Controller for Pitch Angle of Wind Turbine”, Wseas Transactions On Systems And Control, 18, 527-539, 2023.
  • Kumar, D., & Chatterjee, K., “A review of conventional and advanced MPPT algorithms for wind energy systems”, Renewable and Sustainable Energy Reviews, vol. 55, pp. 957–970, 2015.
  • Tiwari, R., & N, R. B, “Comparative Analysis of Pitch Angle Controller Strategies for PMSG Based Wind Energy Conversion System”, International Journal of Intelligent Systems and Applications, vol. 9, no. 5, pp. 62–73, 2017.
  • Yilmaz A. S. and Özer Z., “Pitch angle control in wind turbines above the rated wind speed by multi-layer perceptron and radial basis function neural networks”, Expert Systems with Applications, vol. 36, no. 6, pp. 9767–9775, 2009.
  • Asghar A. B., Ehsan R., Naveed K., Al-Ammar E. A., Ejsmont Krzysztof, and Nejman M., “Recurrent neural network for pitch control of variable-speed wind turbine”, Science Progress, vol. 107, no. 2, 2024.
  • Hannachi, M., Elbeji, O., Benhamed, M., & Sbita, L., “Comparison between ABC and ACO: Tunning of On-Off MPPT for wind systems”, Wind Engineering, vol. 45, no. 6, pp. 1601–1612, 2021.
  • Burakov M., Shishlakov V., “Genetic algorithm optimization for pitch angle control of variable speed wind turbines”, MATEC Web of Conferences, vol. 113, pp. 01009–01009, 2017
  • Tiwari, R., & Babu, N. R., “Recent developments of control strategies for wind energy conversion system”, Renewable and Sustainable Energy Reviews, vol. 66, pp. 268–285, 2016.
  • Sudhakar Babu, T., Rajasekar, N., & Sangeetha, K., “Modified Particle Swarm Optimization technique based Maximum Power Point Tracking for uniform and under partial shading condition” , Applied Soft Computing, vol. 34, pp. 613–624, 2015.
  • Seyedmahmoudian, M., Mekhilef, S., Rahmani, R., Yusof, R., & Asghar Shojaei, A., “Maximum power point tracking of partial shaded photovoltaic array using an evolutionary algorithm: A particle swarm optimization technique”, Journal of Renewable and Sustainable Energy, vol. 6, no. 2, 2014.
  • V. da, L. P. Sampaio, and S. Augusto, “Comparative Analysis of ABC, Bat, GWO and PSO Algorithms for MPPT in PV Systems,” pp. 347–352, 2019.
  • Mokhtari, Y., & Rekioua, D., “High performance of Maximum Power Point Tracking Using Ant Colony algorithm in wind turbine,” Renewable Energy, vol. 126, pp. 1055–1063, 2018.
  • Hetmaniok, E., Słota, D., Zielonka, A., & Wituła, R., “Comparison of ABC and ACO Algorithms Applied for Solving the Inverse Heat Conduction Problem” Lecture notes in computer science, pp. 249–257, 2012.
  • Rahim, A. H. M. A., & Raza, S. A., “A differential evolution based adaptive neural network pitch controller for a doubly fed wind turbine generator system”, Research Journal of Applied Sciences, Engineering and Technology, 6(22). 2013.
  • Karami-Mollaee, A., & Barambones, O., “Pitch Control of Wind Turbine Blades Using Fractional Particle Swarm Optimization,” Axioms, vol. 12, no. 1, p. 25, 2022.
  • Ghefiri, K., Bouallegue, S., Haggege, J., Garrido, I., & Garrido, A. J., “Firefly algorithm based-pitch angle control of a tidal stream generator for power limitation mode”, 2018 International Conference on Advanced Systems and Electric Technologies (IC_ASET), pp. 387–392, 2018.
  • Lastomo, D., Setiadi, H., & Djalal, M. R., “Optimization pitch angle controller of rocket system using improved differential evolution algorithm”, International Journal of Advances in Intelligent Informatics, 3(1), 2017.
  • Bianchi, F. D., De Battista, H., & Mantz, R. J., Wind turbine control systems: principles, modelling and gain scheduling design. Springer Science & Business Media, 2006.
  • Rolan, A., Luna, A., Vazquez, G., Aguilar, D., & Azevedo, G., "Modeling of a variable speed wind turbine with a Permanent Magnet Synchronous Generator," 2009 IEEE International Symposium on Industrial Electronics, Seoul, Korea (South), , pp. 734-739, 2009.
  • Zhou, F., & Liu, J., “Pitch Controller Design of Wind Turbine Based on Nonlinear PI/PD Control,” Shock and Vibration, vol. 2018, no. 1, 2018.
  • E. José, A. M. Araújo, and S. Bouchonneau, “A review on wind turbine control and its associated methods,” Journal of Cleaner Production, vol. 174, pp. 945–953, 2017.
  • Bouregba, H., Hachemi, M., Bey, M., & Hamidat, A., Stability analysis of the pitch angle control of large wind turbines using different controller strategies. Advances in Mechanical Engineering,14(11), 2022.
  • Yamada, M., & Murakami, T., “Individual Pitch Control of Wind Turbine System by Estimating Wind Speed Using Pitching Moment”. IEEJ Journal of Industry Applications, 12(5), 1008–1014, 2023.
  • Chen, Z., & Li, H., “Overview of different wind generator systems and their comparisons,” IET Renewable Power Generation, vol. 2, no. 2, pp. 123–138, 2008.
  • Ben Smida, M., & Sakly, A., “Pitch angle control for grid-connected variable-speed wind turbine system using fuzzy logic: A comparative study,” Wind Engineering, vol. 40, no. 6, pp. 528–539, 2016.
  • Shehata, E. G., “A comparative study of current control schemes for a direct-driven PMSG wind energy generation system,” Electric Power Systems Research, vol. 143, pp. 197–205, 2017.
  • Hashim, F. A., Hussain, K., Houssein, E. H., Mabrouk, M. S., & Al-Atabany, W., “Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems,” Applied Intelligence, vol. 51, no. 3, pp. 1531–1551, 2021.
  • Fathy, A., Alharbi, A. G., Alshammari, S., & Hasanien, H. M., “Archimedes optimization algorithm based maximum power point tracker for wind energy generation system,” Ain Shams Engineering Journal, 2021.
Year 2024, Volume: 10 Issue: 2, 151 - 166, 30.12.2024
https://doi.org/10.51477/mejs.1591919

Abstract

References

  • Yakob Kiros Teklehaimanot, F. K. Akingbade, B. C. Ubochi, and T. O. Ale, “A review and comparative analysis of maximum power point tracking control algorithms for wind energy conversion systems,” International Journal of Dynamics and Control, vol. 12, no. 9, pp. 3494–3516, May 2024.
  • Gümüş Bilal, “Integration of Renewable Energy Sources to Power Networks and Smart Grids,” Lecture notes in energy, pp. 81–103, Jan. 2022.
  • Alex, (2024 Nov. 11). “Global Wind Report 2023 - Global Wind Energy Council,” Global Wind Energy Council, Feb. 14, 2023. https://gwec.net/globalwindreport2023/.
  • Kharchouf I., A. Essadki, M. Fdaili, and T. Nasser, “Comparative Study of MPPT and Pitch Angle using PI and Fuzzy Logic Controllers,” 2021 9th International Renewable and Sustainable Energy Conference (IRSEC), 2018.
  • Nguyen H. M. and Naidu D. S., “Advanced control strategies for wind energy systems: An overview,”, 2011.
  • Gajewski P. and Pieńkowski K., “Advanced control of direct-driven PMSG generator in wind turbine system,” Archives of Electrical Engineering, vol. 65, no. 4, pp. 643–656, 2016.
  • Singh N. and Scholar M. T., “Design and Modeling of Wind Energy Conversion System Based on PMSG Using MPPT Technique,” vol. 5, no. 2, pp. 96–100, 2016.
  • Apata O. and Oyedokun D.T.O., “An overview of control techniques for wind turbine systems,” Scientific African, vol. 10, pp. e00566–e00566, 2020.
  • Elbeji O., Mouna B. hamed, and Lassaad S., “Modeling and control of a variable speed wind turbine,” 2014 5th International Renewable Energy Congress (IREC), pp. 1–5, 2014.
  • Kumar H., Gupta A., Rupendra Kumar Pachauri, and. Chauhan Y. K, “PI/FL based blade pitch angle control for wind turbine used in wind energy conversion system,”, 2015.
  • Wang J., Tse N., and Gao Z., “Synthesis on PI-based pitch controller of large wind turbines generator,” Energy Conversion and Management, vol. 52, no. 2, pp. 1288–1294, 2011.
  • Hwas A. and Katebi R., “Wind Turbine Control Using PI Pitch Angle Controller,” IFAC Proceedings Volumes, vol. 45, no. 3, pp. 241–246, 2012.
  • Perçin H.B. and Çalişkan A., “Modeling And Analysis Of Pitch Angle Control On Variable Speed Wind Turbines,” European Journal of Technic, vol. 11, no. 1, pp. 101–106, 2021.
  • Muhando, E. B., Senjyu, T., Yona, A., Kinjo, H., & Funabashi, T., Disturbance rejection by dual pitch control and self-tuning regulator for wind turbine generator parametric uncertainty compensation. IET Control Theory and Applications, 1(5), 2007.
  • Kim J.-S., Jeon J., and Heo H., “Design of adaptive PID for pitch control of large wind turbine generator” , 2011.
  • Muzakkir Quamar Md, Khan K. A., Liu B., and M. Khalid, “Optimal PID and FOPID Based Pitch Angle Control of Wind Generation System,” pp. 1–6, 2023.
  • Al-Toma, A. S., Taylor, G. A., & Abbod, M., “Intelligent pitch angle control scheme for variable speed wind generator systems”, 2017.
  • Pachauri, R. K., Kumar, H., Gupta, A., & Chauhan, Y. K, “Pitch Angle Controlling of Wind Turbine System Using Proportional-Integral/Fuzzy Logic Controller,” Smart innovation, systems and technologies, pp. 55–63, 2015.
  • Chowdhury, M. A., Hosseinzadeh, N., & Shen, W. X., “Smoothing wind power fluctuations by fuzzy logic pitch angle controller,” Renewable Energy, vol. 38, no. 1, pp. 224–233, 2011.
  • Kamel, R. M., Chaouachi, A., & Nagasaka, K., “Enhancement of micro-grid performance during islanding mode using storage batteries and new fuzzy logic pitch angle controller”, Energy Conversion and Management, vol. 52, no. 5, pp. 2204–2216, 2011.
  • Mousa, N. M., El-Shaer, Y. I., & El-Sebah, M. I. A. “A Proposed Controller for Pitch Angle of Wind Turbine”, Wseas Transactions On Systems And Control, 18, 527-539, 2023.
  • Kumar, D., & Chatterjee, K., “A review of conventional and advanced MPPT algorithms for wind energy systems”, Renewable and Sustainable Energy Reviews, vol. 55, pp. 957–970, 2015.
  • Tiwari, R., & N, R. B, “Comparative Analysis of Pitch Angle Controller Strategies for PMSG Based Wind Energy Conversion System”, International Journal of Intelligent Systems and Applications, vol. 9, no. 5, pp. 62–73, 2017.
  • Yilmaz A. S. and Özer Z., “Pitch angle control in wind turbines above the rated wind speed by multi-layer perceptron and radial basis function neural networks”, Expert Systems with Applications, vol. 36, no. 6, pp. 9767–9775, 2009.
  • Asghar A. B., Ehsan R., Naveed K., Al-Ammar E. A., Ejsmont Krzysztof, and Nejman M., “Recurrent neural network for pitch control of variable-speed wind turbine”, Science Progress, vol. 107, no. 2, 2024.
  • Hannachi, M., Elbeji, O., Benhamed, M., & Sbita, L., “Comparison between ABC and ACO: Tunning of On-Off MPPT for wind systems”, Wind Engineering, vol. 45, no. 6, pp. 1601–1612, 2021.
  • Burakov M., Shishlakov V., “Genetic algorithm optimization for pitch angle control of variable speed wind turbines”, MATEC Web of Conferences, vol. 113, pp. 01009–01009, 2017
  • Tiwari, R., & Babu, N. R., “Recent developments of control strategies for wind energy conversion system”, Renewable and Sustainable Energy Reviews, vol. 66, pp. 268–285, 2016.
  • Sudhakar Babu, T., Rajasekar, N., & Sangeetha, K., “Modified Particle Swarm Optimization technique based Maximum Power Point Tracking for uniform and under partial shading condition” , Applied Soft Computing, vol. 34, pp. 613–624, 2015.
  • Seyedmahmoudian, M., Mekhilef, S., Rahmani, R., Yusof, R., & Asghar Shojaei, A., “Maximum power point tracking of partial shaded photovoltaic array using an evolutionary algorithm: A particle swarm optimization technique”, Journal of Renewable and Sustainable Energy, vol. 6, no. 2, 2014.
  • V. da, L. P. Sampaio, and S. Augusto, “Comparative Analysis of ABC, Bat, GWO and PSO Algorithms for MPPT in PV Systems,” pp. 347–352, 2019.
  • Mokhtari, Y., & Rekioua, D., “High performance of Maximum Power Point Tracking Using Ant Colony algorithm in wind turbine,” Renewable Energy, vol. 126, pp. 1055–1063, 2018.
  • Hetmaniok, E., Słota, D., Zielonka, A., & Wituła, R., “Comparison of ABC and ACO Algorithms Applied for Solving the Inverse Heat Conduction Problem” Lecture notes in computer science, pp. 249–257, 2012.
  • Rahim, A. H. M. A., & Raza, S. A., “A differential evolution based adaptive neural network pitch controller for a doubly fed wind turbine generator system”, Research Journal of Applied Sciences, Engineering and Technology, 6(22). 2013.
  • Karami-Mollaee, A., & Barambones, O., “Pitch Control of Wind Turbine Blades Using Fractional Particle Swarm Optimization,” Axioms, vol. 12, no. 1, p. 25, 2022.
  • Ghefiri, K., Bouallegue, S., Haggege, J., Garrido, I., & Garrido, A. J., “Firefly algorithm based-pitch angle control of a tidal stream generator for power limitation mode”, 2018 International Conference on Advanced Systems and Electric Technologies (IC_ASET), pp. 387–392, 2018.
  • Lastomo, D., Setiadi, H., & Djalal, M. R., “Optimization pitch angle controller of rocket system using improved differential evolution algorithm”, International Journal of Advances in Intelligent Informatics, 3(1), 2017.
  • Bianchi, F. D., De Battista, H., & Mantz, R. J., Wind turbine control systems: principles, modelling and gain scheduling design. Springer Science & Business Media, 2006.
  • Rolan, A., Luna, A., Vazquez, G., Aguilar, D., & Azevedo, G., "Modeling of a variable speed wind turbine with a Permanent Magnet Synchronous Generator," 2009 IEEE International Symposium on Industrial Electronics, Seoul, Korea (South), , pp. 734-739, 2009.
  • Zhou, F., & Liu, J., “Pitch Controller Design of Wind Turbine Based on Nonlinear PI/PD Control,” Shock and Vibration, vol. 2018, no. 1, 2018.
  • E. José, A. M. Araújo, and S. Bouchonneau, “A review on wind turbine control and its associated methods,” Journal of Cleaner Production, vol. 174, pp. 945–953, 2017.
  • Bouregba, H., Hachemi, M., Bey, M., & Hamidat, A., Stability analysis of the pitch angle control of large wind turbines using different controller strategies. Advances in Mechanical Engineering,14(11), 2022.
  • Yamada, M., & Murakami, T., “Individual Pitch Control of Wind Turbine System by Estimating Wind Speed Using Pitching Moment”. IEEJ Journal of Industry Applications, 12(5), 1008–1014, 2023.
  • Chen, Z., & Li, H., “Overview of different wind generator systems and their comparisons,” IET Renewable Power Generation, vol. 2, no. 2, pp. 123–138, 2008.
  • Ben Smida, M., & Sakly, A., “Pitch angle control for grid-connected variable-speed wind turbine system using fuzzy logic: A comparative study,” Wind Engineering, vol. 40, no. 6, pp. 528–539, 2016.
  • Shehata, E. G., “A comparative study of current control schemes for a direct-driven PMSG wind energy generation system,” Electric Power Systems Research, vol. 143, pp. 197–205, 2017.
  • Hashim, F. A., Hussain, K., Houssein, E. H., Mabrouk, M. S., & Al-Atabany, W., “Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems,” Applied Intelligence, vol. 51, no. 3, pp. 1531–1551, 2021.
  • Fathy, A., Alharbi, A. G., Alshammari, S., & Hasanien, H. M., “Archimedes optimization algorithm based maximum power point tracker for wind energy generation system,” Ain Shams Engineering Journal, 2021.
There are 48 citations in total.

Details

Primary Language English
Subjects Power Plants, Energy, Wind Energy Systems, Renewable Energy Resources
Journal Section Article
Authors

Hasan Bektaş Perçin 0000-0001-8968-969X

Abuzer Çalışkan 0000-0001-8262-7912

Publication Date December 30, 2024
Submission Date November 28, 2024
Acceptance Date December 24, 2024
Published in Issue Year 2024 Volume: 10 Issue: 2

Cite

IEEE H. B. Perçin and A. Çalışkan, “ARCHIMEDES OPTIMIZATION ALGORITHM-BASED PITCH ANGLE CONTROL IN WIND ENERGY SYSTEMS”, MEJS, vol. 10, no. 2, pp. 151–166, 2024, doi: 10.51477/mejs.1591919.

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