In this paper, a wind turbine emulator (WTE) based on the load torque dynamic compensation of PMSM is proposed to satisfy the further study of wind power system control technology in laboratory. The basic characteristic of wind turbine is analyzed to compare the wind turbine with its WTE. The dynamic compensation method based on the acceleration feedback is improved to propose the load torque dynamic compensation method to realize the dynamic characteristic simulation of wind turbine. Moreover, a low pass filter (LPF) is adopted at the load torque compensation module to suppress the torque ripple of the wind generator. An entire wind power system experimental platform is built to test the proposed torque compensation method. The results verify the proposed control method.

Wind power generation has increased rapidly in China over the last decade. In this paper the authors present an extensive survey on the status and development of wind power generation in China. The wind resource distributions in China are presented and assessed, and the 10 GW-scale wind power generation bases are introduced in details. The domestic research status of main components of WP system is then elaborated, followed by an evaluation of the wind power equipment manufacturers. Finally, the outlook for the development of the wind power utilization in China is presented.

This paper presents a novel switched-flux memory motor (SFMM) by artfully incorporating the flux-mnemonic concept into the conventional switched-flux permanent magnet machine. The magnetic susceptibility of AlNiCo PM provides the flexible online controllability of air-gap flux by imposing a transient current pulse. To uniformize magnetization levels of PMs, a time-divisional magnetization strategy (TDMS) is proposed. Due to the uniqueness of hysteresis nonlinearity and instability regarding AlNiCo PM operating point, the time-stepping finite element method (TSFEM) dynamically coupled with a nonlinearity-involved parallelogram hysteresis model (NIPHM) of AlNiCo PM is performed to investigate the electromagnetic performance of the proposed SFMM. The results derived from the combinative algorithm verifies the flux-adjustable capability of the proposed motor equipped with TDMS and the validity of the proposed NIPHM.