Fuzzy Logic as a Method to Optimize Wind Systems Interconnected with the Grid

Abstract

The wind systems have become more and more complex, namely due to increase of the turbines and wind farms power, what implies higher significance of either system non-linearities or system multivariable characteristics. It adds as direct consequence from wind systems high power that wind farms are becoming active elements in the wind power system. So the wind system performance and behaviour become critical elements of the grid. The performance of the turbine control is improved keeping on the power coefficient always near to maximum value, optimizing the energy extraction from the wind speed and so increasing the global system efficiency. It adds that the operation within a wind farm context demands for optimization of the whole operation. This chapter analyses wind systems biased by the increasing of wind power penetration into the grid and intends to deal with the requirement of controlling either each wind system or wind farm pointing out a methodology to design fuzzy controllers in order to optimize turbine operation and farm operation taking in accounting its operation as power system element. Some results are carried out to validate main conclusions, namely the need of including in the control process data on very short-term wind condition through adopting new techniques of real-time forecasting.