基于双模糊算法的风电机组储能系统优化控制

Optimal Control of Wind Turbine Energy Storage System Based on Double Fuzzy Strategy

在风力发电机组并网运行时,通过配置飞轮储能系统(flywheel energy storage system,FESS)可以有效地平抑风电机组输出功率的波动。在模糊混合PID控制基础之上,提出了一种双模糊控制策略,利用模糊推理将风力发电机组输出的有功功率和飞轮转速两个优化控制目标同时引入到FESS的控制之中,使二者形成紧密联系又彼此制约的关系。然后对电网侧d轴电流引入补偿以稳定直流侧电压,实现近一步优化控制。最后利用Matlab/Simulink进行仿真验证,仿真结果表明,与传统控制策略相比,采用文中的控制策略时电网侧的有功功率波动明显减小,飞轮转速未发生越限现象,直流侧电压波动不超过20 V。

Flywheel energy storage system （FESS） can be effectively used to restrain the fluctuation of wind turbine output power when grid connected wind turbine operates. We introduced a double fuzzy control strategy based on mixed fuzzy PID control of power, the active power output of wind turbine, and the speed of flywheel into the control strategy by fuzzy reasoning simultaneously, so the relationship between the two parameters is closely related and can be restricted by each other. Then the d shaft current compensation of grid side is introduced to stabilize the DC side voltage to achieve a further optimization. Finally, the results of simulation from Matlab/Simulink show that the control strategy in this paper can better reduce the fluctuation of grid side active power and the speed of flywheel is within limits compared with the traditional control strategy, and the fluctuation of DC voltage is less than 20 V.