Analysis of Various Yaw Control Techniques for Large Wind Turbines

  • Wael Farag Associate Professor American University of the Middle East Kuwait
Keywords: Wind Turbine, Yaw Control, Yaw Error, PID, Fuzzy Logic Controller, Model Predictive Control (MPC).

Abstract

In this paper, we introduce three different nacelle yaw controllers that use distinct techniques and study their performances in improving the captured energy by the turbine. The first one is a carefully tuned Proportional-Integral-Differential (PID) controller with its simple design; the second one is a linguistic fuzzy logic controller with its intuitive flexible design; and the third one is a Model-Predictive-Controller (MPC) with its adaptive functionality. The control objective of the developed controllers is to effectively track the wind direction by the yaw motion of the turbine nacelle; and consequently to improve the energy capture. A comparative study and a thorough analysis among the three controllers’ performances are carried out using extensive MATLAB/SIMULINK simulations.

Author Biography

Wael Farag, Associate Professor American University of the Middle East Kuwait

Associate Professor

Electrical Engineering

American University of the Middle East

Kuwait

References

M-G Kim, P. H. Dalhof, “Yaw Systems for wind turbines - Overview of concepts, current challenges and design methods”, Journal of Physics: Conference Series 524 (2014) 012086.

Wael Farag, Hanan El-Hosary, Khaled El-Metwally, Ahmed Kamel, “Design and implementation of a variable-structure adaptive fuzzy-logic yaw controller for large wind turbines”, Journal of Intelligent & Fuzzy Systems 30 (2016) 2773–2785, DOI:10.3233/IFS-152030, IOS Press.

H. M. Hassan, W. A. Farag, Abdel Latif ElShafei, and M. S. Saad, “Designing Pitch Controller for Large Wind Turbines via LMI Techniques”, Energy Procedia, Elsevier, pp 808-818, vol. 12, 2011.

H. M. Hassan, W. A. Farag, M. S. Saad, A. L. Elshafei, “Adaptive Look-Ahead Feed-forward Wind Turbine Pitch Control using LIDAR Technology”, International Conference on Sustainable Systems and Technologies, (WASET) 65 2012, Amsterdam, May 13, 2012, pp 675-681.

H. M. Hassan, W. A. Farag, M. S. Saad, A. L. Elshafei, “Robust Dynamic Output Feedback Pitch Control for Flexible Wind Turbines”, IEEE EnergyTech 2012, May 29, Cleveland, Ohio, USA.

H. M. Hassan, W. A. Farag, A. L. ElShafei, and M. S. Saad, “A Robust LMI-Based Pitch Controller for Large Wind Turbines”, Renewable Energy, v.44, 2012 August, p.63(9) (ISSN: 0960-1481), Elsevier.

H. M. Hassan, W. A. Farag, Abdel Latif ElShafei, and M. S. Saad, “Design of Multi-Objective Robust Pitch Control for Large Wind Turbines”, World Congress on Sustainable Technologies, pp 95, Nov. 7-10, 2011, London, UK.

A. M. Hemeida, W. A. Farag, O. A. Mahgoub, “Modeling and Control of Direct Driven PMSG for Ultra Large Wind Turbines”, International Conference of Nuclear and Renewable Energy Engineering (ICNREE 2011, 28-30 Nov., Venice, ITALY), pp 918-924, (WASET) 59 2011.

Ahmed M. Hemeida, Osama A. Mahgoub, Wael A. Farag, “Design of a Comprehensive 5MW Direct-Driven PMSG wind Turbine Emulator Using FAST nonlinear Wind Turbine Model”, ISSN: 2325-7407, 2(4), International Journal of Automation and Control Engineering, November 2013.

Hamid Shariatpanah, Roohollah Fadaeinedjad, and Masood Rashidinejad, “A New Model for PMSG-Based Wind Turbine with Yaw Control”, IEEE Transactions on Energy Conversion, Vol. 28, No. 4, Dec. 2013.

L. Wenzhou, C. Changqing, and Z. Zhuo, “Design of a large scale wind turbine generator set yaw system”, IEEE Inter. Conf. on Computer Science and Education, Singapore, August 2011.

Farret FA, Pfitscher LL, Bernardon DP, “Sensorless active yaw control for wind turbines”, IEEE 27th Annual Conference of the IEEE Industrial Electronics Society, 2001. p. 1370–75.

Chen FQ, Yang JM, “Fuzzy PID controller used in yaw system of wind turbine”, IEEE 3rd International Conference on Power Electronics Systems and Applications, 2009. p. 1–4.

Fadaeinedjad R, Moschopoulos G, Moallem M., “The impact of tower shadow, yaw error, and wind shears on power quality in a wind-diesel system”, IEEE Trans Energy Conversion 2009; 24(1):102–11.

Kusiak A, Zheng H, Song Z, “Power optimization of wind turbines with data mining and evolutionary computation”, Renewable Energy 2010; 35(3):695–702.

Lee K, Im J, Choy I, Cho W, Back J., “MPPT and Yawing control of a new horizontal-axis wind turbine with two parallel-connected generators”, IEEE 8th International Conference on Power Electronics-ECCE Asia, 2011. p. 2618–24.

Rijanto E, Muqorobin A, Nugraha AS. Design of a yaw positioning control system for 100 kW horizontal axis wind turbines based on on/off control with dead band and hysteresis. Int J Appl Eng Res 2011; 6(19):2327–40.

Chenghui ZHU, Pengju LI, Jianping W, Xiaobing XU, “Research on intelligent controller of wind-power yaw based on modulation of artificial neuroendocrine immunity system”, Procedia Eng 2011; 15:903–7.

Mehmet Yesilbudak, Seref Sagiroglu, Ilhami Colak, “A novel intelligent approach for yaw position forecasting in wind energy systems”, Electrical Power and Energy Systems 69 (2015) 406–413, Elsevier.

M. S. S. Santoso, “Dynamic Models for Wind Turbines and Wind Power Plants,” NREL national laboratory of the U.S. Department of Energy, pp. 15-17, May 2011.

S. Miller, “Wind Turbine Model,” Mathwork. Inc, March 2013.

Fernando G. Martins, “Tuning PID Controllers using the ITAE Criterion”, Int. J. Engng Ed. Vol. 21, No. 5, pp. 867-873, 2005.

W. A. Farag, V.H. Quintana, and G. Lambert-Torres, “A Genetic-Based Neuro-Fuzzy Approach for Modeling and Control of Dynamical Systems”, IEEE Transactions on Neural Networks, 9(5), pp. 756-767, September 1998.

Wael A. Farag, V.H. Quintana, and G. Lambert-Torres, "Neuro-Fuzzy Modeling of Complex Systems Using Genetic Algorithms", Proceedings of the IEEE International Conference on Neural Networks (IEEE ICNN'97), Vol. 1, pp. 444-449, June 8-12, 1997, Houston, Texas, USA.

Wael A. Farag, V.H. Quintana, and G. Lambert-Torres, “An Optimized Fuzzy Controller for a Synchronous Generator in a Multi-Machine Environment”, Fuzzy Sets and Systems, Volume 102(1), Feb. 1999, pp. 71-84, Elsevier Science.

A. Bemporad, M. Morari, N. L. Ricker, “Model Predictive Control Toolbox,” pp. 11-18, March 2005.

L.Wang, “Model Predictive Control System Design and Implementation Using MATLAB,” ECE Dept., RMIT University, 2009.

Published
2019-08-07
Section
Electrical Engineering (1)