Wind turbine generator parameter identification method based on Bayesian neural network
A wind turbine and neural network technology, applied in the field of smart grid power distribution, can solve problems such as changes, achieve the effect of fewer iteration steps and easy convergence of global errors
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[0046] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0047] In the following description, many specific details are explained in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described here, and those skilled in the art can do it without departing from the connotation of the present invention. Similar promotion, therefore, the present invention is not limited by the specific embodiments disclosed below.
[0048] Such as figure 1 As shown, the method for identifying parameters of wind turbines based on Bayesian neural network provided by this embodiment includes the following steps:
[0049] Step S1: Collect historical data of the wind turbine and initialize the Bayesian neural network mo...
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