Intelligent Gradient Detection on MPPT Control for VariableSpeed Wind Energy Conversion System

The problem of control associated wind energy conversion systems using horizontal-axis fixed-pitch variable speed low-power, working in the partial load region, consisting in the energy conversion maximization, is approached here under the assumption that the wind turbine model and its parameters are poorly known. Intelligent gradient detection method by using Maximum Power Point Tracking (MPPT) fuzzy control approach is proposed control solution aims at driving the average position of the operating point near to optimality. The reference of turbine rotor speed is adjusted such that the turbine operates around maximum power for the current wind speed value. In order to establish whether this reference must be either increased or decreased, it is necessary to estimate the current position of the operating point in relation to the maximum power-rotor speed curve characteristic by many fuzzy rules. Numerical simulations are used for preliminary checking performance of the MPPT control law based on this intelligent gradient detection.