Patent ID: 11879434
Assignee: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
Field: Engines, pumps, turbines (Mechanical engineering)
Classification: CPC F  G  Y | IPC F  G

Claim 3:
4. The wind speed-tip speed ratio neural network (NN) trained wind turbine control apparatus of claim 1, wherein the maximum power (Pmax) at any given wind speed is given by:

Pmax=½ρAVw3Cpmax(λ,β), where ρ is an air density, A is a blade swept area, Vw is wind velocity and Cpmax is a power coefficient which is depicted by function of (λ, β) where λ0 is the tip speed ratio and β is the pitch angle, the function being, C
    
     p
     ⁢
       
     max
    
   
   (
   
    λ
    ,
    β
   
   )
  
  =
  
   
    0.22
    
     (
     
      
       116
       
        λ
        i
       
      
      -
      
       0.4
       β
      
      -
      5
     
     )
    
    ⁢
    
     e
     
      
       -
       12.5
      
      
       λ
       i
      
     
    
   
   +
   
    
     0
     .
     0
    
    ⁢
    0
    ⁢
    68
    ⁢
    
     λ
     .