Generalized Predictive Control Based on Hammerstein-Wiener Model for Variable Pitch Wind Energy Conversion System

摘要

When the wind speed is above the rated value, in order to improve the safety and stability of the wind energy conversion systems (WECS), a novel generalized predictive control strategy based on Hammerstein-Wiener model for variable pitch WECS is proposed. The quasi-newton trust-region (QN-TR) and CPSO algorithm (QN-TR-CPSO) is successfully applied to the rolling optimization strategy of generalized predictive control to improve the optimization accuracy and speed. Simulation results show that the proposed method can be used to effectively regulate the speed output of the wind generator and the energy output of the WECS.