摘要
针对双馈风机传统有功功率控制策略下存在的功率波动与超调量大等问题,提出一种在全风速范围内基于状态空间模型的有功功率多模型预测控制方法。该方法采用机组的状态空间模型,在控制过程中可充分考虑机组重要状态参数的变化与约束,避免其超出额定值。考虑到机组严重的非线性特性,根据风速的大小对机组模型进行分段线性化。引入预测控制算法,在目标函数中计及机组输出功率和发电机转速与目标值的偏差、桨距角和发电机转矩控制量及其增量等多项指标。在不同风速段,通过调整目标函数的权值,实现机组追踪最大风能或按额定功率满发等控制目标。仿真结果表明,所提出的控制策略可在保证风能利用效率、维持输出功率平稳的同时,减小输出功率和发电机转速的超调量。
To cope with the power fluctuations and overshoots in wind turbines with doubly fed inductive generators operated in the traditional control mode, a multiple model predictive control strategy of active power for whole wind speed was proposed based on state-space model. The state-space model of wind turbines was used in it so that some important state variables could be monitored to avoid the case exceeding their rated value. Considering the serious nonlinearity of wind turbine, it was necessary to make wind turbine model linearization in different segments according to wind speed. The predictive control algorithm was introduced to calculate the deviation of the output power and generator speed and target value, the pitch angle and the generator torque control quantity and its increment in the objective function. With the change of wind speed, the weighs of the objective function were adjusted to achieve different control goals, such as tracking the maximum wind energy of the unit or full power generation at rated power, etc. The simulation results reveal that the proposed control method is able to keep high wind energy utilization efficiency, maintain the stability of the output power, as well as reduce the overshoots of the output power and the generator speed.
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2017年第4期976-982,共7页
Acta Energiae Solaris Sinica
基金
河北省自然科学基金(E2015502066)
中央高校基金(2015MS86)
关键词
双馈风力发电机
最大风能追踪
状态空间模型
多模型预测控制
wind turbine with doubly fed inductive generator
maximum wind energy tracking
state-space model
mul- tiple model predictive control
