基于数字孪生的双馈风力发电机功率波动平抑系统

Power fluctuation suppression system of doubly⁃fed wind turbine based on digital twin

为了提高双馈风力发电机功率的平抑效果,设计基于数字孪生的双馈风力发电机功率波动平抑系统。借助数字孪生五维模型搭建系统框架;确定系统各功能硬件;设计系统软件,基于数字孪生技术映射设备模块,采集数据;利用经验模态分解法和小波阈值法处理信号;利用孪生神经网络判断功率波动程度;基于PID设计功率平抑控制器,实现波动平抑。测试结果表明,经过所设计系统平抑后,功率波动在允许范围内且峭度因子达到了1.785,解决了平抑效果不佳的问题。

In order to improve the power suppression effect of doubly-fed wind turbine,a digital twin based power fluctuation suppression system for doubly fed wind turbine is designed.Build a system framework using the digital twin five dimensional model;Determine the hardware of each system function;Design system software,map device modules based on digital twin technology,and collect data;Using empirical mode decomposition method and wavelet threshold method to process signals;Using twin neural networks to determine the degree of power fluctuations;Design a power smoothing controller based on PID to achieve fluctuation smoothing.The test results show that after designing the system for smoothing,the power fluctuation is within the allowable range and the kurtosis factor reached 1.785,solving the problem of poor smoothing effect.