Title :
WRBF network based control strategy for PMSG on smart grid
Author :
Chen, Chiung-Hsing ; Hong, Chih-Ming ; Ou, Ting-Chia
Author_Institution :
Electron. Commun. Eng., Nat. Kaohsiung Marine Univ., Kaohsiung, Taiwan
Abstract :
The rotation speed of turbines can be adjusted in the real time according to wind speed for maximum power point tracking (MPPT) in power generation systems on smart grid. In this paper, a Wilcoxon radial basis function neural (WRBFN) network based MPPT strategy is proposed for permanent magnet synchronous generator (PMSG) on variable speed wind turbine generation systems. The proposed MPPT strategy adopts a hill climbing searching (HCS) method, and thus is independent of the turbine and generator characteristics. The design of a high-performance on-line training WRBFN is used for a PMSG with back-propagation learning algorithm regulating controller.
Keywords :
backpropagation; maximum power point trackers; neural nets; permanent magnet generators; power engineering computing; power generation control; radial basis function networks; smart power grids; synchronous generators; wind turbines; WRBF network based control strategy; Wilcoxon radial basis function neural network; back-propagation learning; hill climbing searching; maximum power point tracking; permanent magnet synchronous generator; permenant magnet synchronous motors; regulating controller; rotation speed; smart grid; variable speed wind turbine generation systems; wind speed; Algorithm design and analysis; Generators; Inverters; Voltage control; Wind power generation; Wind speed; Wind turbines; Wilcoxon radial basis function network (WRBFN); hill-climb searching (HCS); maximum power point tracking (MPPT); permanent magnet synchronous generator (PMSG);
Conference_Titel :
Intelligent System Application to Power Systems (ISAP), 2011 16th International Conference on
Conference_Location :
Hersonissos
Print_ISBN :
978-1-4577-0807-7
Electronic_ISBN :
978-1-4577-0808-4
DOI :
10.1109/ISAP.2011.6082233
