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Wind farm wind turbine combination process based on wake effect clustering

A technology of wake effect and aggregation method, which is applied in electrical digital data processing, special data processing applications, instruments, etc., and can solve the problems of small scope of application, poor safety, and low stability.

Active Publication Date: 2014-06-25
STATE GRID CORP OF CHINA +2
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  • Abstract
  • Description
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Problems solved by technology

[0004] In the process of realizing the present invention, the inventors found that at least there are defects such as low stability, poor security and small scope of application in the prior art

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  • Wind farm wind turbine combination process based on wake effect clustering
  • Wind farm wind turbine combination process based on wake effect clustering
  • Wind farm wind turbine combination process based on wake effect clustering

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Embodiment Construction

[0048] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0049] Wake is a turbulent vortex flow behind or downstream of a moving object, also known as wake. In the field of wind power, besides referring to the increase of downwind turbulence level after the wind passes through the wind turbine and changing the load on the wind turbine, it is more important to describe that after the wind turbine extracts energy from the wind, the wind energy cannot be effectively recovered. When the wind speed is significantly reduced in a long area downwind of the unit, this phenomenon is called the wake effect. The influence of the wake effect on the wind speed is related to the wind energy conversion efficiency of the wind turbine, the...

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Abstract

The invention discloses a wind farm wind turbine combination process based on wake effect clustering. The method includes acquiring historical winding measuring data, more than one year, of a wind measuring tower corresponding to a wind farm to be measured, and calculating a dominant wind direction of the wind farm to be measured by the wind speed rose diagram analysis method; on the basis of the acquired dominant wind direction of the wind farm to be measured, calculating wake effect on wind speed by using a Larsen model; on the basis of the acquired dominant wind direction of the wind farm to be measured and the acquired wake effect on wind speed, clustering wind farm wind turbines; on the basis of clustering results, calculating wind speed of each wind turbine according to a wake model. The wind farm wind turbine combination process based on wake effect clustering, defects of low stability, poor security and small adaptive range in the prior art can be overcome, and stability is high, security is high and adaptive range is wide.

Description

technical field [0001] The invention relates to the technical field of modeling of wind farms in the process of wind power generation, in particular to a method for clustering fans of wind farms based on wake effect grouping. Background technique [0002] Most of the large-scale wind power bases generated after my country's wind power enters the stage of large-scale development are located in the "Three North Regions" (Northwest, Northeast, and North China). Large-scale wind power bases are generally far away from the load center, and their power needs to be transmitted to the load center through long distances and high voltage. To digest. Due to the intermittence, randomness and volatility of wind resources, the wind power output of large-scale wind power bases will fluctuate in a large range, which will further lead to fluctuations in the charging power of the transmission network and bring a series of problems to the safety of power grid operation. [0003] As of November...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 汪宁渤路亮丁坤蔡旭周识远李津张金平李征张琛
Owner STATE GRID CORP OF CHINA
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