含规模化风电并网的负荷频率云PI控制策略研究

针对规模化风电并网对系统调频造成的不确定性问题，提出了一种计及风电不确定性的云模型负荷频率控制策略。首先将风电出力作为扰动信号，与联络线功率偏差组成的区域控制偏差作为负荷频率控制器的输入量，根据云模型规则发生器建立了具有不确定性映射关系的云（比例-积分，PI）负荷频率控制器。以含有风电的三区域互联电网为例，通过某区域电网实测运行数据仿真分析表明，所建立的云PI控制器能够较好地跟踪风电功率波动，具有较强的抗干扰性。所提方法不仅满足了风电接入对电网调频的要求，而且控制效果明显优于传统PI控制器。

Research on Load Frequency Control Strategy Based on Cloud PI Controller in Large-scale Wind Power Connected to Grid

Aiming at the uncertainty caused by largescale wind power grid-connected to system frequency modulation, a cloud model load frequency control strategy considering the uncertainty of wind power was proposed. Firstly, the wind power output was regarded as the disturbance signal, and the regional control deviation composed of the wind output power and the power deviation of the tie line was regarded as the input of the load frequency controller. According to the cloud model rule generator, the cloud PI load frequency controller with uncertainty mapping relationship was established. Taking the three-area interconnected power grid with wind power as an example, the simulation analysis of the measured data in a certain regional power grid showed that the established cloud PI controller can better track the fluctuations of the wind output power and has strong anti-interference. The method proposed not only satisfies the requirements of the frequency modulation for wind power connected to the grid, but also has better control effect than traditional PI controller.