CN-122014501-A - Wind farm multi-unit cooperative output improving method based on long-wing mode

CN122014501ACN 122014501 ACN122014501 ACN 122014501ACN-122014501-A

Abstract

The invention relates to the technical field of new energy and discloses a method for improving the cooperative output of a plurality of units of a wind farm based on a long-wing mode, which comprises the steps of acquiring first acquired data, second acquired data and/or predicted data; the method comprises the steps of acquiring first acquisition data, second acquisition data and/or prediction data, positioning a wake flow influence area and a wind direction sensitive area of a wind power plant, targeting wind power plant output maximization, pertinently formulating a target strategy based on the wake flow influence area and the wind direction sensitive area obtained by positioning, generating control instructions for a long machine unit and a plane unit based on the formulated target strategy, executing the control instructions for the long machine unit, and sending the control instructions for the plane unit to a corresponding plane unit. The invention can realize optimal power generation performance of the whole wind power plant.

Inventors

CHEN YUCHAN
QIN MING
ZHANG HAO
ZHANG ZILIANG
XU ZHILIANG
SHAO ZHIYONG

Assignees

中国长江三峡集团有限公司

Dates

Publication Date: 20260512
Application Date: 20260318

Claims (10)

1. The method for improving the cooperative output of the multiple units of the wind power plant based on the long machine-assistant mode is characterized in that the multiple units of the wind power plant comprise a long machine unit and a assistant machine unit, the method is applied to the long machine unit, and the method comprises the following steps: Acquiring first acquired data, second acquired data and/or predicted data, wherein the first acquired data are data acquired by a sensor of the long machine set, the second acquired data are data acquired by a sensor of the plane set, and the predicted data are data obtained by prediction based on the first acquired data and/or the second acquired data; Locating a wake impact zone and a wind direction sensitive zone of the wind farm based on the first acquired data, the second acquired data, and/or the prediction data; Targeting the maximum output of the wind power plant, and pertinently formulating a target strategy based on the wake influence area and the wind direction sensitive area obtained by positioning, wherein the target strategy comprises a wake evasion strategy and a power distribution strategy; Generating control instructions for the long machine unit and the assistant machine unit based on the formulated target strategy; executing control instructions for the long machine set, and will be directed to the control of the said plane units and sending the instruction to the corresponding plane unit.
2. The method according to claim 1, wherein said locating wake impact regions and wind direction sensitive regions of the wind farm based on the first acquired data, the second acquired data, and/or the predicted data comprises: Disassembling flow field features based on the first acquired data, the second acquired data, and/or the predicted data; drawing a wind speed vector distribution map of the whole wind power plant domain based on the flow field characteristics obtained by disassembly; and analyzing a wind speed and direction distribution rule in the wind power plant based on the wind speed vector distribution map, and positioning a wake flow influence area and a wind direction sensitive area.
3. The method of claim 2, wherein the disassembling flow field features comprises: The flow field features are disassembled from multiple dimensions including a wind speed gradient dimension, a turbulence intensity dimension, a wind direction frequency dimension.
4. The method of claim 1, wherein the set of wind farms includes at least one of the following sensors: Wind speed and direction sensor; A vibration sensor; A power sensor; Blade pitch angle sensor.
5. The method as recited in claim 1, further comprising: And after receiving the control command sent by the long machine unit, the auxiliary machine unit executes corresponding operation according to the command, adjusts own operation parameters, monitors the running state of the unit in real time, takes the execution result and the current running data as the feedback data, and feeds back the feedback data to the long machine unit through communication equipment.
6. The method as recited in claim 5, further comprising: Evaluating the execution effect of the control command according to the feedback data of the auxiliary machine set, the coincidence degree of the actual adjustment value of the fan key execution mechanism and the command target value, and the change trend of the wind condition and the output within the preset time after the control command is executed; And if the deviation between the execution effect and the expected target does not meet the preset deviation threshold, adjusting the target strategy, and performing dynamic optimization control.
7. The method as recited in claim 1, further comprising: and according to the monitoring data and the evaluation result of the monitoring platform of the main control room of the wind power plant, making an operation load and a maintenance plan of the unit.
8. Wind farm multi-unit collaborative output lifting device based on long machine-assistant mode, which is characterized in that the multi-unit of the wind farm comprises a long machine unit and a assistant machine unit, the device is applied to the long machine unit, and the device comprises: The data acquisition module is used for acquiring first acquired data, second acquired data and/or predicted data, wherein the first acquired data are data acquired by a sensor of the long machine set, the second acquired data are data acquired by a sensor of the auxiliary machine set, and the predicted data are data predicted based on the first acquired data and/or the second acquired data; The positioning module is used for positioning a wake flow influence area and a wind direction sensitive area of the wind power plant based on the first acquired data, the second acquired data and/or the prediction data; the strategy making module is used for making a target strategy in a targeted mode based on the wake flow influence area and the wind direction sensitive area which are obtained through positioning, wherein the target strategy comprises a wake flow evasion strategy and a power distribution strategy; The control instruction generation module is used for generating control instructions for the long machine unit and the bureau unit based on the formulated target strategy; And the execution module is used for executing the control instruction aiming at the long machine unit and sending the control instruction aiming at the plane unit to the corresponding plane unit.
9. A computer device, comprising: The wind farm multi-unit collaborative output lifting method based on the long machine-to-plane mode according to any one of claims 1 to 7 is implemented by the processor and the memory, wherein the memory and the processor are in communication connection with each other, and the memory stores computer instructions.
10. A computer-readable storage medium, wherein computer instructions for causing a computer to execute the long machine-to-plane mode-based method for improving coordinated output of a wind farm multiple units according to any one of claims 1 to 7 are stored on the computer-readable storage medium.

Description

Wind farm multi-unit cooperative output improving method based on long-wing mode Technical Field The invention relates to the technical field of new energy, in particular to a method for improving the cooperative output of multiple units of a wind farm based on a long-wing mode. Background With the rapid development of the wind power generation industry, the scale of wind power plants is continuously enlarged, and the number of wind power units in the plants is increased. Under the traditional wind farm control mode, each wind turbine generator set often adopts an independent control strategy or depends on a central centralized control system to perform unified scheduling. During independent control, each unit is controlled only according to local information acquired by a sensor of the unit, and factors such as wake effects among units, space distribution differences of wind speeds and wind directions and the like cannot be fully considered, so that the utilization efficiency of wind energy resources is low. The central centralized control system can be planned in an overall way, but has the problems of high communication delay, poor system reliability and the like, once the central controller fails, the operation of the whole wind power plant is seriously affected, and when the real-time data of a large-scale unit are processed, the calculation burden is heavy, and the accurate and effective control decision is difficult to make quickly. In addition, the existing control mode is difficult to realize the optimal power generation performance of the whole wind power plant while ensuring the reliability of the equipment and prolonging the service life of the equipment. In the process of pursuing high power generation, a part of units can be in a high-load and high-stress state for a long time, equipment aging is accelerated, fault risks are increased, and operation and maintenance cost is increased. Therefore, a new control algorithm is needed to realize efficient cooperative control of multiple wind turbines in a wind farm, and balance the relationship between the power generation performance and the equipment reliability. Disclosure of Invention In view of the above, the invention provides a method for improving the coordinated output of multiple wind turbines in a wind farm, so as to solve the problem that the multiple wind turbines in the wind farm cannot be controlled in a coordinated manner with high efficiency. In a first aspect, the present invention provides a method for improving coordinated output of multiple units of a wind farm based on a long-wing mode, where the multiple units of the wind farm include a long unit and a plane unit, and the method is applied to the long unit, and the method includes: Acquiring first acquired data, second acquired data and/or predicted data, wherein the first acquired data are data acquired by a sensor of the long machine set, the second acquired data are data acquired by a sensor of the plane set, and the predicted data are data obtained by prediction based on the first acquired data and/or the second acquired data; Locating a wake impact zone and a wind direction sensitive zone of the wind farm based on the first acquired data, the second acquired data, and/or the prediction data; Targeting the maximum output of the wind power plant, and pertinently formulating a target strategy based on the wake influence area and the wind direction sensitive area obtained by positioning, wherein the target strategy comprises a wake evasion strategy and a power distribution strategy; Generating control instructions for the long machine unit and the assistant machine unit based on the formulated target strategy; executing control instructions for the long machine set, and will be directed to the control of the said plane units and sending the instruction to the corresponding plane unit. In a second aspect, the invention provides a multi-unit cooperative output lifting device for a wind farm based on a long-plane-assistant mode, wherein the multi-unit of the wind farm comprises a long-plane unit and a plane unit, the device is applied to the long-plane unit, and the device comprises: The data acquisition module is used for acquiring first acquired data, second acquired data and/or predicted data, wherein the first acquired data are data acquired by a sensor of the long machine set, the second acquired data are data acquired by a sensor of the auxiliary machine set, and the predicted data are data predicted based on the first acquired data and/or the second acquired data; The positioning module is used for positioning a wake flow influence area and a wind direction sensitive area of the wind power plant based on the first acquired data, the second acquired data and/or the prediction data; the strategy making module is used for making a target strategy in a targeted mode based on the wake flow influence area and the wind direction sensitive area which are obtained through positioni