Deep Learning Based Power Oscillation Suppression Method for Asynchronous Wind Turbine Generators
Due to the numerous factors that cause power oscillation in asynchronous wind turbines,the effectiveness of power oscillation suppression is difficult to guarantee.Therefore,a deep learning based method for suppressing power oscillation in asynchronous wind turbines is proposed.After analyzing the power oscillation state of asynchronous wind turbines from three perspectives:Dynamic characteristics of wind turbines,dynamic characteristics of generator units,and dynamic characteristics of transmission chains,effective suppression of oscillation is achieved through the use of long short-term memory networks.In the test results,the application effect of designing oscillation suppression methods is not only more efficient,but also better for controlling the basic oscillation amplitude.
deep learningasynchronous wind turbine generatorspower oscillation suppressiondynamic characteristics of wind turbinesdynamic characteristics of generator unitsdynamic characteristics of the transmission chain
NETL
NSTL
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