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


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Abstract


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.

KeyWords
wind power, Kalman filter algorithm, wind power forecast, load frequency control



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