References:
[1]
Z. M. Dalal, Z. U. Zahid, W. Yu, and J. S. Lai, “Design and Analysis of an MPPT Technique for Smal- Scale Wind Energy Conversion System”, IEEE Transactions on Energy Conversion, Vol.28, No.3, pp.756-767, 2013.
[2]
A. Urtasun, P. Sanchis, I. S. Martín, J. López and L. Marroyo, “Modeling of samll wind turbines based on PMSG with diode bridge for sensorless maximum power tracking”, Renewable energy, Vol.55, pp.138-149, 2013.
[3]
C. Ming, C. H. Chen and C. H. Tu, “Maximum power point tracking- based control algorithm for PMSG wind generation system without mechanical sensors”, Energy conversion and management, Vol.69, pp.58-67, 2013.
[4]
Y. Xia, K. H. Ahmed and B. W. Williams, “A New Maximum Power Point Tracking Technique for Permanent Magnet Synchronous Generation Based Wind Energy Conversion System”, IEEE Transactions on Power Electronics, Vol.26, No.12, pp.3609-3620, 2011.
[5]
A. M. Eltamaly and H. M. Farh, “Maximum power extraction from wind energy system based on fuzzy logic control”, Electrical power systems research, Vol.97, pp.144-150, 2013.
[6]
M. Narayana, G. A. Putrus, M. Jovanovic, P. S. Leung and S. McDonald, ”Generic maximum power point tracking controller for small-scale wind turbines”, Renewable Energy, Vol.44, pp.72-79, 2012.
[7]
C. Y. Lee, P. H. Chen and Y. X. Shen, ”Maximum power point tracking (MPPT) system of small wind power generator using RBFNN approach”, Expert Systems with Applications, Vol.38, pp.12058-12065, 2011.
[8]
V. Agarwal, R. K. Aggarwal, P. Patidar and C. Patki, C, “A Novel Scheme for Rapid Tracking of Maximum Power Point in Wind Energy Generation Systems”, IEEE Transactions on Energy Conversion, Vol.25, No.1, pp.228-236, 2010.
[9]
E. Koutroulis, and K. Kalaitzakis, “Design of a Maximum Power Tracking System for Wind- Energy- Conversion Applications”, IEEE Transactions on Industrial Electronics, Vol.53, No.2, pp.486-494, 2006.
[10]
M. E. Haque, M. Negnevitsky and K. M. Muttaqi, “ A Novel Control Strategy for a Variable-Speed Wind Turbine With a Permanent-Magnet Synchronous Generator”, IEEE Transactions on Industry Applications, Vol.46, pp.331-339, 2010.
[11]
A. Meharra, M. Tioursi, M. Hatti and S. A. Boudghene, “A variable speed wind generator maximum power tracking based on adaptative neuro-fuzzy inference system”, Expert Systems with Applications, Vol.38, pp.7659-7664, 2011.
[12]
W. M. Lin and C. M. Hong, ”Intelligent approach to maximum power point tracking control strategy for variable-speed wind turbine generation system”, Energy, Vol.35, pp.2440-2447, 2010.
[3]
C. H. Chen, C. M. Hong and F. S. Cheng, ”Intelligent speed sensorless maximum power point tracking control for wind generation system”, Electrical Power and Energy Systems, Vol.42, pp.399-407, 2012.
[14]
I. Kortabarria, J. Andreu, I. M. Alegria and J. Jimenez, “A novel adaptative maximum power point tracking algorithm for small wind turbines”, Renewable Energy, Vol.63, pp.785-796, 2014.
[15]
T. Senjyu, Y. Ochi, Y. Kikunaga, M. Tokudome and A. Yona, “Sensor-less maximum power point tracking control for wind generation system with squirrel cage induction generator”, Renewable Energy, Vol. 34, pp.994-999, 2009.
[16]
T. Senjyu, S. Tamaki, E. Muhando, N. Urasaki, H. Kinijo, T. Funabashi, F. Hideki and H. Sekine,” Wind velocity and rotor position sensorless maximum power point tracking control for wind generation system”, Renewable Energy,Vol.31, pp.1764-1775, 2006.
[17]
R. Rajabioum, “Cuckoo Optimization Algorithm”, Applied Soft Computing, Vol.11, pp.5508-5518, 2011.