Nonlinear regression applied for power quality disturbances characterization in grids with wind generators

Abstract

The  impact  of  wind  generation  on  the  electrical  system  should  be  assessed  to  figure  out  potential  hazards  to  system  operation  and  deterioration  of  power  quality  indicia.  In  this  paper  signal  processing  algorithms  has  been  applied  to  analyze   switching   transients   within   wind   generation   units.      Nonlinear  regression  method  and  Prony  model  were  applied  to  determine transients’ parameters for various operation modes of the  wind  generator.  Both  methods  delivered  quite  satisfactory  results, but the regression method was prone to local minima.