Wind power plant active power off-line prediction controller design method considering dynamic wake flow

Abstract

The invention discloses a wind power plant active power off-line prediction controller design method considering dynamic wake flow, and mainly relates to the technical field of wind power plant active power control. The method includes the following steps: S1, establishing a dynamic wake flow model of the whole wind power plant; s2, establishing a wind power plant active power prediction model through a state equation based on a wind power plant whole-field dynamic wake flow model; s3, constructing an active power optimization model of the wind power plant based on the dynamic wake flow model of the whole wind power plant; s4, performing wind power plant active power optimization solution by adopting a PSO algorithm; s5, establishing a mapping relation between the wind power plant system state and the yaw angle optimization value and between the wind power plant system state and the axial thrust coefficient optimization value through a CNN-GRNN hybrid network; and s6, constructing an active power off-line prediction controller of the wind power plant. According to the invention, the online calculation time of the wind power plant active power model prediction controller can be reduced, and the control precision is ensured.

Description

technical field [0001] The invention relates to the technical field of wind farm active power control, in particular to a design method for an off-line predictive controller of wind farm active power considering dynamic wake flow. Background technique [0002] With the large-scale development and utilization of wind farms, the layout of wind farms in the future will become more and more compact due to the limitation of the site range of wind farms and the need to save land resources and reduce investment costs. Secondly, the capacity of wind turbines and the diameter of wind rotors will become larger and larger. , which will cause the wake effect between units to become more obvious. Due to the influence of the wake effect, after the upstream fan absorbs wind energy, the input wind speed of the downstream fan will decrease significantly, resulting in too little wind energy captured by the downstream fan, resulting in the overall wind power of the wind farm. Field output powe...

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Problems solved by technology

However, the layout of wind farms is compact, usually with dozens or even hundreds of wind turbines, which makes the control parameters of MPC too many, which makes the calculation of MPC rolling optimization process more complicated and the solution time is too long; secondly, with the wind farm With the development of intelligence, the wind farm control system requires the more computing tasks to be completed in one control cycle, the better, and the control strategy with low computing overhead is more conducive to the integration of other control and management functions

Therefore, when designing the MPC of a wind farm, it is necessary to reduce the amount of computing as much as possible and shorten the online computing time. However, current research is often only aimed at the problem of wind farm power improvement, and rarely pays attention to the problem of wind farm active power control computing and online computing time.

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