Compensation Control Studies for Variable-Speed Wind Power Systems Based on Neural Network

• Autorzy: Li T. , Ji Z.

Warianty tytułu

PL

Kompensacyjny system sterowania elektrowniami wiatorowyumio o zmiennej szybkości wiatru – wykorzystujący sztuczne sieci neuronowe

• Języki publikacji: EN

Abstrakty

EN

Wind power systems have strong nonlinear characteristic, when wind speed is below the rated value. A novel intelligent hybrid maximum power point tracking (MPPT) controller for variable-speed wind power systems is designed, linear parameter-varying (LPV) gain-scheduling controller is designed to regulate output of fast-dynamics generator torque, neural network compensator is used to eliminate the interference caused by unknown parameters, WPSO algorithm is used to train neural network. Hardware-in-loop simulation model is built up based on Matlab/Xilinx, results prove that the method can effectively improve wind energy utilization efficiency, mechanical vibration of wind turbine is reduced, the maximum wind energy is captured, a better idea is provide for application of FPGA in wind power field.

PL

Zaproponowano nowy system sterowania systeme elektrowni wiatrowych uwzględniający zmienność szybkości wiatru. System wykorzystuje sztuczne sieci neuronowe co szybkiego sterowania dynamiką momentu.

Słowa kluczowe

EN

wind power systems; wind energy utilization efficiency

PL

system elektrowni wiatrowych; sterowanie elektrowniami

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 5b
• Strony: 31--34
• Opis fizyczny: Bibliogr. 10 poz., schem.

Twórcy

autor

Li T.

autor

Ji Z.

• University of Jiangnan

Bibliografia

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• [8] Pirabakaran,V.M. Becerra.PID Autotuning Using Neural Networks and Model Reference Adaptive Control[C].15th Triennial World Congress,Barcelona,2002.
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• [10] S.Y X, T Li, Z.C Ji.Research on the Reconfigurable Implementation of Neural Network Controller Based on FPGA for DC-DC Converters[J]. Lecture Notes in Computer Science, (5552) 2009: 1152-1159.