Artificial neural network-based maximum power point tracking control for variable speed wind energy conversion systems

Proceedings of the IEEE International Conference on Control Applications

Volumn , Issue , 2009, Pages 1667-1671

  Thongam, J S ^a   Bouchard, P ^a   Ezzaidi, H ^b   Ouhrouche, M ^b  

^a STAS Inc   (Canada)

^b UNIVERSITÉ DU QUÉBEC À CHICOUTIMI   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COMMAND SIGNAL; MAXIMUM OUTPUT POWER; MAXIMUM POWER POINT TRACKING; MAXIMUM POWER POINT TRACKING CONTROLS; OUTPUT POWER; ROTOR SPEED; TIME STEP; VARIABLE SPEED WIND ENERGY CONVERSION SYSTEMS; WIND SPEED;

ALGORITHMS; COMPUTER SIMULATION; ENERGY CONVERSION; OPTICAL FLOWS; PHOTOVOLTAIC EFFECTS; PUMPS; SPEED; VARIABLE SPEED DRIVES; WIND POWER;

NEURAL NETWORKS;

EID: 74049123888     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCA.2009.5281181     Document Type: Conference Paper

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