基于自适应空气密度变化的直驱式风机控制策略优化分析

Control Strategy Optimization Analysis of Direct Drive Wind Turbine Based on Self-adaptive Air Density Change

为了有效改善直驱式风力发电机组的功率曲线,确定在空气密度降低的情况下,提出采用功率自适应来优化风机的控制策略。利用MATLAB/SIMULINK搭建了1.5 MW直驱式风力发电机组仿真模型,风速在3~10m/s变化时仿真数据与现场实际数据基本一致,验证了仿真模型的准确性。将功率自适应方案嵌入仿真模型,仿真结果表明:采用功率自适应方案优化后的功率输出大于优化前的输出值,验证了控制方案的有效性。

In the case of the air density reduction, the control strategy of direct drive wind turbine is optimized by using the power adaptation to improve the power curve and solve the problem of low utilization efficiency. Based on Mat- lab/Simulink, the wind power system simulation model with a 1.5 MW direct-drive permanent magnet synchronous generator is established in this paper. With the continuous change of wind speed in the case of 3 - 10 m/s, the simulation data and the theoretical data are consistent, which verifies the accuracy of the simulation model. The values of the power output and the maximum wind energy absorption coefficient are larger than the optimal output one. The simulation results verify the effectiveness of the control scheme.