A model predictive control-based wind farm frequency-voltage support control parameter optimization method

Abstract

The application provides a wind farm frequency-voltage support control parameter optimization method based on model prediction control, relates to the field of power systems and automatic technology thereof, obtains real-time operation data of a target wind farm and a grid connection point thereof, the real-time operation data including a system frequency, a grid connection point voltage and active and reactive power output states of the wind farm; the real-time operation data is input into a preset frequency-voltage coupling state space model, and a system state prediction value in a next prediction time domain is obtained through rolling prediction. The deep coupling mechanism of the frequency and the voltage of the wind farm under a weak power grid environment can be fully considered, on the basis of guaranteeing the real-time and deterministic delay of the model prediction control, adaptive optimization and adjustment of the control parameters to different disturbance working conditions and power grid strengths are realized.

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