The Research On Maximum Wind Energy Capture Control Of Doubly-fed Wind Generator Based On Fuzzy Neural Network

With the global energy internet has been put forwad,clean energy replacing fossil fuels and electricity replacing direct consumption of fossil energy in energy consumption are the development direction in the future,breakthrough of wind power generation technology will help building the global energy internet.At present,with the large-scale construction of wind farms,the efficient use of wind power has became a hotspot in research of wind power.This article summarizes the development status and trend of wind power,researches status of wind power technology at domestic and abroad.On the basis of anlysising the basic principle of doubly-fed wind power generator,it establishes doubly-fed induction generator in the mathematical model of two phase rotating coordinate system,then according to the stator magnetic field orientation to simplify the model.It analysised of the operation principle and operation of maximum wind energy tracking area,at the same time,studied application of several maximum power point tracking methods bases on comparing the several methods advantages and disadvantages.In order to solve the problem of getting accurate wind speed in tip speed ratio method difficultly,the paper puts forward maximum power tracking controller based on fuzzy neural network.Under the condition of below rated wind speed of wind speed estimates,by determining the best tip speed ratio,estimating the wind speed were used to get the maximum wind power tracking generator optimal speed command.On the contrary,through the variable pitch controller makes wind turbine stable have constant output power.At last,through matlab simulation analysis shows that the method designed in this paper can make the wind power system track the maximum power point more quickly and accurately.