Neural Network Based Sensorless Maximum Wind Energ

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Information about Neural Network Based Sensorless Maximum Wind Energ
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Published on November 5, 2007

Author: Kliment

Source: authorstream.com

Neural Network Based Sensorless Maximum Wind Energy Control with Compensated Power Coefficient:  Neural Network Based Sensorless Maximum Wind Energy Control with Compensated Power Coefficient Hui Li Dept. of ECE FAMU-FSU College of Engineering Tallahassee, FL32310 Current Mechanical Sensorless Peak Power Tracking Control:  Current Mechanical Sensorless Peak Power Tracking Control Proposed work :  Proposed work Variable Wind Speed System:  Variable Wind Speed System (a) PMSG wind Generator (b) SCIG wind Generator Analysis of Wind Turbine Maximum Power:  Pm output mechanical power of the wind turbine,  air density,  tip speed ratio, Cp the power coefficient, rm adius of the rotor,  wind turbine rotor swept area, Vw wind velocity, r rotor speed of the turbine Analysis of Wind Turbine Maximum Power Wind velocity estimation by ANN (I):  Wind velocity estimation by ANN (I) Wind velocity estimation by ANN (II):  Wind velocity estimation by ANN (II) Peak Control strategy with compensation of power coefficient drift:  Peak Control strategy with compensation of power coefficient drift Derivation of Pseudo-power curve:  Derivation of Pseudo-power curve (a) (b) Peak Control strategy with compensation of power coefficient drift:  Peak Control strategy with compensation of power coefficient drift Simulation Study of PMSG Wind Generator:  Simulation Study of PMSG Wind Generator SCIG Wind Generator:  SCIG Wind Generator Experimental Setup:  Experimental Setup Experimental Results:  Experimental Results Conclusion:  Conclusion A maximum mechanical power of the wind turbine can be well tracked at both dynamic and steady states; A neural network based wind velocity estimator is developed to provide fast and accurate velocity information to avoid using anemometers; A neural network based scheme is presented to compensate the potential drift of wind turbine power coefficient curve without extra sensors A maximum mechanical The simulation study and experimental results of PMSG wind generator and SCIG wind generator proves the validity of the method.

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