Intelligent speed sensorless maximum power point tracking control for wind generation system

International Journal of Electrical Power and Energy Systems

Volumn 42, Issue 1, 2012, Pages 399-407

  Chen, Chiung Hsing ^a   Hong, Chih Ming ^a   Cheng, Fu Sheng ^b  

^a NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

^b CHENG SHIU UNIVERSITY   (Taiwan)

Author keywords

Induction generator (IG); Model reference adaptive system (MRAS); Particle swarm optimization (PSO); Recurrent neural network (RNN); Wind turbine (WT)

Indexed keywords

BACKPROPAGATION LEARNING ALGORITHM; ELECTRIC POWER; GRID-CONNECTED; HIGH RELIABILITY; LEARNING CAPABILITIES; LEARNING RATES; LIGHT WEIGHT; MAXIMUM POWER POINT TRACKING CONTROLS; MECHANICAL SENSORS; MODEL REFERENCE ADAPTIVE SYSTEM; ONLINE TRAINING; OUTPUT MAXIMIZATION; POSITION SENSORS; POWER REGULATION; ROTATIONAL SPEED; SENSOR LESS CONTROL; SENSORLESS; SPEED-SENSOR LESS; VARIABLE SPEED WIND ENERGY CONVERSION SYSTEMS; VECTOR CONTROLS; WIND GENERATION SYSTEM; WIND SPEED;

ADAPTIVE SYSTEMS; ASYNCHRONOUS GENERATORS; BACKPROPAGATION; ENERGY POLICY; LEARNING ALGORITHMS; OBSERVABILITY; PARTICLE SWARM OPTIMIZATION (PSO); RECURRENT NEURAL NETWORKS; SENSORS; VARIABLE SPEED DRIVES;

POWER QUALITY;

EID: 84861145917     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2012.04.019     Document Type: Article

References (22)

1. R.S. Pena, R.J. Cardenas, G.M. Asher, and J.C. Clare Vector controlled induction machines for stand-alone wind energy applications Proc IEEE Ind Appl Annu Meeting 3 2000 1409 1415
2. S. Morimoto, H. Nakayama, M. Sanada, and Y. Takeda Sensorless output maximization control for variable-speed wind generation system using IPMSG IEEE Trans Ind Appl 41 1 2005 60 67
3. F.J. Lin, R.J. Wai, and P.C. Lin Robust speed sensorless induction motor drive IEEE Trans Aerosp Electron Systems 35 2 1999 532 542
4. R. Cardenas, R. Pena, J. Proboste, G. Asher, and J. Clare MRAS observer for sensorless control of standalone doubly fed induction generators IEEE Trans Energy Convers 20 4 2005 710 718
5. M.G. Simoes, B.K. Bose, and R.J. Spiegel Fuzzy logic-based intelligent control of a variable speed cage machine wind generation system IEEE Trans Power Electron 12 1 1997 87 95
6. H. Li, K.L. Shi, and P.G. McLaren Neural-network-based sensorless maximum wind energy capture with compensated power coefficient IEEE Trans. Ind Appl 41 6 2005 548 1556
7. K. Tan, and S. Islam Optimum control strategies in energy conversion of PMSG wind turbine system without mechanical sensors IEEE Trans Energy Convers 19 2 2004 392 399
8. Senjyu T, Tamaki S, Urasaki N, Uezato K, Higa H, Funabashi T, et al. Wind velocity and rotor position sensorless maximum power point tracking control for wind generation system. In: 35th Annual IEEE Power electron specialists conf, 2004; 2023-2028.
9. M.A. Mohamed, A. Hamdy, A.E. Hamdy, and E.S. Mohamed Maximum power point tracking using fuzzy logic control Int J Electr Power Energy Syst 39 1 2012 21 28
10. K. Ghedamsi, and D. Aouzellag Improvement of the performances for wind energy conversions systems Int J Electr Power Energy Syst 32 9 2010 936 945
11. M. Karrari, W. Rosehart, and O.P. Malik Comprehensive control strategy for a variable speed cage machine wind generation unit IEEE Trans Energy Convers 20 2 2005 415 423
12. B.K. Bose Power electronics and AC drive 1986 John Wiley New York
13. M.K. Ahmed, and M.Y. Ali Robust control of an isolated hybrid wind-diesel power system using linear quadratic gaussian approach Int J Electr Power Energy Syst 33 4 2011 1092 1100
14. R. Mohsen, and P. Mostafa Dynamic behavior analysis of doubly-fed induction generator wind turbines - the influence of rotor and speed controller parameters Int J Electr Power Energy Syst 32 5 2010 464 477
15. C.H. Lu, and C.C. Tsai Adaptive predictive control with recurrent neural network for industrial processes: an application to temperature control of a variable-frequency oil-cooling machine IEEE Trans Ind Electron 55 3 2008 1366 1375
16. F.J. Lin, C.H. Lin, and C.M. Hong Robust control of linear synchronous motor servodrive using disturbance observer and recurrent neural network compensator IEE Proc Electr Power Appl 147 4 2000 263 272
17. A.A. Esmin, G.L. Torres, and C.Z. Souza A hybrid particle swarm optimization applied to loss power minimization IEEE Trans Power Syst 20 2 2005 859 866
18. C. Schauder Adaptive speed identification for vector control of induction motors without rotational transducers IEEE Trans Ind Appl 28 5 1992 1054 1061
19. H. Tajima, and Y. Hori Speed sensorless field orientation control of the induction machine IEEE Trans Ind Appl 29 1 1993 175 180
20. G. Yang, and T.H. Chin Adaptive-speed identification scheme for a vector-controlled speed sensorless inverter-induction motor drive IEEE Trans Ind Appl 29 4 1993 820 825
21. F.Z. Peng, and T. Fufao Robust speed identification for speed-sensorless vector control of induction motors IEEE Trans Ind Appl 30 5 1994 1234 1240
22. Y.D. Landau Adaptive control - the model reference approach. Marcel Dekker 1979 John Wiley New York