Maximum Output Power Tracking of Wind Turbine Using Intelligent Control
Abstract
The Output power of wind turbine is determined by wind speed. The Output power can be adjusted by controlling the generator speed and pitch angle of wind turbine. When the wind speed below the wind turbine rated, the output power of generator can be maximized by controlling the generator speed at point of maximum power coefficient. When the wind speed above the wind turbine rated, output power of wind turbine will exceed the power generators rated. In this condition, the output power of wind turbine needs to be regulated to conform to the generator power rate. Output power of wind turbine can be regulated by adjusting the pitch angle of wind turbine. In this paper is developed the control strategies based intelligent control for controlling the generator speed and pitch angle of wind turbine, so the maximum output power tracking (MOPT) of wind turbine can be obtained at any wind speed variations. Generator speed is controlled using PI Fuzzy Logic Controller (PI-FLC) based Direct Field Oriented Control (DFOC). Pitch angle of wind turbine is controlled using Elman Recurrent Neural Network (RENN). The simulation results with Matlab Simulink shows that the both controller was successfully regulates the output power when the wind speed above the wind turbine rated and the output power can be maximum when the wind speed below the wind turbine rated.
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Chen WL, Hsu YY. Controller Design an Induction Generator Driven by a Variable Speed Wind Turbine. IEEE Transaction on Energy Conversion. 2006; 21(3): 625 – 635.
Cardenas R, Pena R. Sensorless Vector Control of induction machines for variable vpeed wind energy applications. IEEE Transaction on Energy Conversion. 2006; 19(1): 196–205.
AJ Mahdi, WH Tang, L Jiang, QH Wu. A Comparative Study on Variable Speed Operations of a Wind Generation System Using Vector Control. International conference on Renewable Energy and Power Quality (ICREPQ). 2010.
Senjyu, S Tamaki, N Urasaki, K Uezato, H Higa, T Funabashi, H Fujita. Sensor-less MPPT Control for Wind Generation System with SCIG”, ELSEIVER Renewable Energy. 2008; 30: 1-6.
Aouzellag D, Ghedamsi K, Berkouk EM. Network Power Fluc Control of a Wind Generator. ELSEIVER Renewable Energy. 2008; 30: 1-8.
Ahmed T, Nishida K, Nakaoka M. Advanced Control of PWM Converter with Variable Speed Induction Generator. IEEE Industry Application. 2006; 42(4): 934–945.
W Qiao, Wei Z, JM Aller. Wind Speed Estimation Based Sensorless Output Maximization Control for a Wind Turbine Driving a DFIG. IEEE Transactions On Power Electronics. 2008; 23(3): 1156-1169.
Agarwal V, RK Aggarwal, PK Patidar, CK Patki. A Novel Scheme for Rapid Tracking of Maximum Power Point in Wind Energy Generation Systems Energy Conversion. IEEE Transactions on, 2010; 25(1): 228-236.
R Mittal, KS Sandu, DK Jain. Isolated Operation of Variable Speed Driven PMSG for Wind Energy Conversion System. IACSIT International Journal of Engineering and Technology. 2009; 1(3): 269-273.
Khalil AGA, Lee DC, Seok JK. Variable speed wind generation based on FLC for Maximum Output Power Tracking, 35th Annual IEEE Power Electronic Specialists Conference. Jerman. 2004.
E Adzic, Z Ivanovic, M Adzic. Maximum Power Search in Wind Turbine Based on Fuzzy Logic Control. Journal Acta Polytechnica Hungarica. 2009; 6(1): 131-149.
A Meharrar, M Tioursi, M atti, AB Stambouli. A Variable Speed Wind Generator Maximum Power Tracking Based On ANFIS. Elseiver : Expert Systems with Applications. 2011; 38: 7659–7664.
WM Lin, CM Hong. Intelligent Approach To MPPT Control Strategy For Variable-Speed Wind Turbine Generation System. Elseiver: Energy. 2010; 35: 2440-2447.
CY Lee, YX Shen, Jung CC. Neural Networks and PSO Based MPPT for Small Wind Power Generator. World Academy of Science, Engineering and Technology. 2009; 60: 17-23.
H. Camblong. Digital robust control of a Variable Speed Pitch Regulated Wind Turbine for Above Rated Wind Speeds. Elseiver: Control engineering practice. 2008; 16: 946-958.
AS Yilmaz, Z Ozer. Pitch Angle Control in Wind Turbine Above the Rated Wind Speed by Multi-layer Perceptron and RBFNN. Elseiver: Expert System with Applications. 2009; 36: 9767-9775.
WM Lin, CM Hong. A New Elman Neural Network-Based Control Algorithm for Adjustable-Pitch Variable Speed Wind-Energy Conversion Systems. IEEE Transactions On Power Electronics. 2011; 66(2): 1847-1853.
Burton T, Sharpe D, Jenskin N, Borsanyi E. Wind Energy Handbook. West Sussex: John Wiley & Sons. 2001
Boldea I, Nasar SA. The Induction Machine Handbook. Florida: CRC Press. 2002.
Bose KB. Modern Power Electronic and AC Drives. Upper Saddle River: Prentice Hall. 2001.
Reznik L. Fuzzy Controller. Oxford: Newnes. 1997.
Widi A. Stabilisator system tenaga berbasis jaringan saraf tiruan berulang untuk sistem mesin tunggal. Journal Telkomnika. 2010; 8(1): 65-72.
LR Medsker, LC Jain. Recurrent Neural Network Design and Application. London: CRC Press. 2001.
DOI: http://doi.org/10.12928/telkomnika.v9i2.690
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