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Load Frequency Control Strategy for Wind Power Grid-connected Power Systems Considering Wind Power Forecast

机译:考虑风电预测的风电并网电力系统负荷频率控制策略

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Due to the strong random of wind power, the much higher request is put forward for the power system load frequency control. Taking the interconnected power grid with wind power as the research object, the load frequency control strategy based on the wind power prediction by Kalman filter is proposed to reduce the influence in the system frequency caused by wind power. The Kalman filter algorithm is used to predict the wind power at first. Then, the forecasted wind power is employed for the load frequency controller design. Furthermore, the load frequency control model interconnected power system is established. This control scheme is applied to a four-area power system considering three areas integrated wind power. The simulation results which are carried on MATLAB/Simulink, show that the proposed load frequency control strategy based on Kalman filter wind power prediction can effectively reduce the frequency fluctuation and keep the system frequency fluctuation in a small range. Simulation results also show its outperformances when compared with the conventional PID based load frequency control.
机译:由于风电随机性强,对电力系统的负载频率控制提出了更高的要求。以风电互联电网为研究对象,提出了基于卡尔曼滤波器预测风电的负荷频率控制策略,以减少风电对系统频率的影响。首先使用卡尔曼滤波算法预测风能。然后,将预测的风力用于负载频率控制器设计。建立了负荷频率控制模型互联电力系统。考虑到三个区域集成风电,该控制方案适用于四区域电力系统。在MATLAB / Simulink上进行的仿真结果表明,所提出的基于卡尔曼滤波器风能预测的负载频率控制策略可以有效地减小频率波动并将系统频率波动保持在较小范围内。与传统的基于PID的负载频率控制相比,仿真结果还显示出其出色的性能。

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