Maximum Power Tracking by VSAS approach for Wind Turbine, Renewable Energy Sources
Abstract
leads efficient algorithms as shown in this paper by the analysis and simulations.
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Oghafy, V., & Nikkhajoei, H. (2008, July). Maximum power extraction
for a wind-turbine generator with no wind speed sensor. In Power and
Energy Society General Meeting-Conversion and Delivery of Electrical
Energy in the 21st Century, 2008 IEEE (pp. 1-6). IEEE.
Abdullah M A, Yatim A H M, Tan C W, et al. A review of maximum
power point tracking algorithms for wind energy systems. Renewable
and Sustainable Energy Reviews. 2012; vol. 16, no 5, p. 3220-3227.
Raza Kazmi S M, Goto Hiroki, Guo Hai-Jiao, et al. Review and critical
analysis of the research papers published till date on maximum power
point tracking in wind energy conversion system. In: Energy Conversion
Congress and Exposition (ECCE). IEEE 2010; p. 4075-4082.
Hui Joanne, Bakhshai Alireza. A new adaptive control algorithm for
maximum power point tracking for wind energy conversion systems. In:
Power Electronics Specialists Conference(PESC). IEEE 2008; p. 40034007.
Raza Kazmi S M, Goto Hiroki, Guo Hai-Jiao, et al. A novel algorithm
for fast and efficient speed-sensorless maximum power point tracking in
wind energy conversion systems. Industrial Electronics. IEEE
Transactions on. 2011; vol. 58, no 1, p. 29-36.
Musunuri Shravana, GINN H L. Comprehensive review of wind energy
maximum power extraction algorithms. In: Power and Energy Society
General Meeting. IEEE, 2011; p. 1-8.
N K. M’Sirdi, B. Nehme, M. Abarkan, A. Rabhi. The Best MPPT
Algorithms by VSAS approach for Renewable Energy Sources (RES) .
Int. Conference EFEA 2014, Paris, Nov 2014.
M'Sirdi, N. K., Rabhi, A., & Abarkan, M. (2013). A New VSAS
approach for Maximum Power Tracking for Renewable Energy Sources
(RES). Energy Procedia, 42, 708-717.
Tan Kelvin, Islam Syed. Optimum control strategies in energy
conversion of PMSG wind turbine system without mechanical sensors.
Energy Conversion. IEEE Transactions on. 2004; vol. 19, no 2, p. 392399.
LIN, Whei-Min et HONG, Chih-Ming. Intelligent approach to maximum power point tracking control strategy for variable-speed wind turbine generation system. Energy, 2010, vol. 35, no 6, p. 2440-2447.
Munteanu Iulian, Bratcu Antoneta Iuliana, Cutululis Nicolaos-Antonio, et al. Optimal control of wind energy systems: towards a global
approach. Springer. 2008.
YIN Ming, LI Gengyin, Zhou Ming, Et Al. Modeling of the wind
turbine with a permanent magnet synchronous generator for integration.
In: Power Engineering Society General Meeting. IEEE.2007; p. 1-6.
Chinchilla Monica, Arnaltes Santiago, Et Burgos Juan Carlos. Control of permanent-magnet generators applied to variable-speed wind energy
systems connected to the grid. Energy Conversion. IEEE Transactions
on.2006; vol. 21, no 1, p. 130-135.
Munteanu I, Guiraud J, Roye D, et al. Sliding mode energy-reliability
optimization of a variable speed wind power system. In: Variable
Structure Systems. 2006. VSS'06. International Workshop on. IEEE.
; p. 92-97
Koutroulis Eftichios , Kalaitzakis Kostas. Design of a maximum power tracking system for wind-energy-conversion applications. Industrial Electronics. IEEE Transactions on. 2006; vol. 53, no 2, p. 486-494.
Pan Ching-Tsai, Juan Yu-Ling. A novel sensorless MPPT controller for
a high-efficiency microscale wind power generation system. Energy
Conversion. IEEE Transactions on. 2010; vol. 25, no 1, p. 207-216.
DOI: http://dx.doi.org/10.21622/resd.2015.01.1.023
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Renewable Energy and Sustainable Development
E-ISSN: 2356-8569
P-ISSN: 2356-8518
Published by:
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Arab Academy for Science, Technology and Maritime Transport (AASTMT)
Alexandria, Egypt