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

A predictive controller and active power technology, which is applied in the field of wind farm active power offline predictive controller design considering dynamic wake, can solve the problems of complex calculation, long solution time, and many control parameters, so as to ensure control accuracy, increase The effect of improving the effect and reducing the control error

Active Publication Date: 2021-06-01
CHONGQING UNIV
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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 str...

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

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[0076] Example: as attached Figure 1-4 As shown, the present invention is considering the wind farm active power off-line predictive controller design method of dynamic wake, including steps:

[0077] S1. Based on the influence of yaw angle and axial thrust coefficient on the wake direction and intensity, the dynamic wake model of the whole wind farm is established considering the time variable. Specifically include steps:

[0078] S11. Construct a static wake model considering yaw angle and axial thrust coefficient. Based on the Jensen model, according to the influence of yaw angle and axial thrust coefficient on the direction and strength of the wake, it is considered that the wake model is continuous at the wake boundary, when the input wind speed of the wind turbine i in the upwind direction is v i and when the input wind direction is β, define the wake velocity loss factor g ij , then the input wind speed v of the adjacent downwind fan j j for:

[0079]

[0080] ...

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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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Application Information

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IPC IPC(8): G06F30/27G06N3/04G06N3/08G06N3/00G06F113/06G06F119/06
CPCG06F30/27G06N3/08G06N3/006G06F2113/06G06F2119/06G06N3/044G06N3/045Y04S10/50Y02E40/70Y02E10/72
Inventor 魏善碧王昱余笑王辉阳肖勇吴睿
Owner CHONGQING UNIV
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