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Wind power plant aggregation method based on K-MEDOIDS aggregation

An aggregation method and technology for wind farms, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of high cost, poor stability, low reliability, etc.

Inactive Publication Date: 2014-06-25
STATE GRID CORP OF CHINA +2
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Problems solved by technology

[0005] In the process of realizing the present invention, the inventors found that at least there are defects such as poor stability, low reliability and high cost in the prior art

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  • Wind power plant aggregation method based on K-MEDOIDS aggregation
  • Wind power plant aggregation method based on K-MEDOIDS aggregation
  • Wind power plant aggregation method based on K-MEDOIDS aggregation

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Embodiment Construction

[0042] 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.

[0043] Taking the DFIG as an example, it can be seen from the steady-state equation and the transient equation of the DFIG that the simulation process of the DFIG is mainly composed of the slip rate of the DFIG, the pitch angle of the genset, the d-axis component of the generator stator current, the power generation Machine stator current q-axis component, generator rotor current d-axis component, generator rotor current q-axis component, generator rotor voltage d-axis component, generator rotor voltage q-axis component, wind turbine torque, rotor mechanical torque, power generation Therefore, when wind farm units are aggregated and modeled, the clustering method can...

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Abstract

The invention discloses a wind power plant aggregation method based on K-MEDOIDS aggregation. The method mainly includes: performing data standardization moment flattening on to-be-measured wind power plant unit samples; calculating sample intervals according to the data standardization moment flattening results; calculating sample contour values according to the sample interval calculation results; performing K-MEDOIDS iteration aggregation calculation according to the sample contour value calculation values to obtain sample contour values and complete wind power plant aggregation. The method has the advantages that the defects of poor stability, low reliability, high cost and the like in the prior art can be overcome, and the method is good in stability, high in reliability and low in cost.

Description

technical field [0001] The present invention relates to the technical field of wind farm modeling in the process of wind power generation, in particular to a K-MEDOIDS clustering-based aggregation method for wind farm units. 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 ...

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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李津周识远李征张金平张琛夏玥
Owner STATE GRID CORP OF CHINA
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