基于功率预测的变速变桨距风电系统的优化控制

Optimization control of variable-speed variable-pitch wind power generation system based on power prediction

为了增强风电场主动融入大电网的能力,基于风速和功率的超短期提前一步预测,以最大风能捕获和输出功率平滑为优化目标,以发电机转速和桨矩角为控制变量,为了有效地减少桨矩角系统和机械系统的压力,制定了最小化控制标准,建立了相应的多目标优化模型。运用遗传算法求解出模型的优化解,将该优化解作用于风力发电机组来优化系统的性能。通过对1.5MW的变速恒频风力发电系统进行仿真研究表明,与传统的最大功率追踪控制相比较,所提出的控制策略提高了发电机输出功率,同时抑制了输出功率的低频波动。

In order to enhance the ability of wind farm actively integrated into grid, the super short-term prediction model of wind speed and power is established. Then with the goal of the maximum wind power capture and the smooth output power and taking generator speed and pitch angle as control variables, the minimization control criterion is set out and the corresponding multi-objective optimization models are established to reduce mechanical and pitch angle stresses. The genetic algorithm is used to solve the optimal solution which is applied to wind power generation system to optimize performances. A 1.5 MW variable speed constant frequency wind power generation system is studied by the computer simulation. The results show that the output power is increased and the turbulence of power in low frequency is reduced compared with the traditional maximum power point tracking （MPPT） control strategy.