Nonlinear predictive control method for acquiring maximum wind energy of variable-speed wind turbine generator system

Abstract

The invention discloses a nonlinear predictive control method for acquiring the maximum wind energy of variable-speed wind turbine generator system. The method includes: introducing a dynamic area toconstrain the allowed range of generator torque; determining the finite control set of candidate generator torque; searching for optimal generator torque sequence; using the first element of the optimal generator torque sequence as the controller output. The method has the advantages that the optimal generator torque sequence is directly searched on the basis of a variable-speed wind turbine generator system nonlinear prediction model, so that the provided controller can sufficiently utilize a large prediction range; the method has high efficiency and excellent performance in maximum wind energy acquiring.

Description

technical field [0001] The invention relates to the field of industrial control, in particular to a nonlinear predictive control method for obtaining the maximum wind energy of a variable-speed wind power generating set. Background technique [0002] The maximum wind energy extraction (MWEE, maximum wind energy extraction) of large variable-speed wind turbines (VSWTs, variable-speed wind turbines) is achieved by tracking the maximum power point (MPP, maximum power point), that is, the optimal rotational speed of the impeller Dependent on wind speed, but increased moment of inertia and high turbulence hinder the realization of MPP tracking for large variable speed wind turbines. In order to improve the wind energy acquisition of variable-speed wind turbines, scholars have proposed some advanced prediction technologies, such as LIDAR (light detection and ranging) and advanced prediction methods, so as to use future wind information for control. For example, some scholars try ...

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Problems solved by technology

However, the existing predictive control techniques all use the linear model linearization method, which can only achieve the local maximum wind energy capture in the short prediction time domain.

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