SCADA data-based yaw control parameter optimization method for wind generation set

A technology of yaw control and wind turbines, which is applied in the direction of engine control parameters, wind engine control, wind power generation, etc., and can solve single problems

Inactive Publication Date: 2017-01-04
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

However, the results of literature retrieval and field investigation show that the current yaw system’s wind control strategy is relatively simple. Some units use a single control parameter in the full wind speed range, that is, the sa...

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  • SCADA data-based yaw control parameter optimization method for wind generation set
  • SCADA data-based yaw control parameter optimization method for wind generation set
  • SCADA data-based yaw control parameter optimization method for wind generation set

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Embodiment Construction

[0061] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0062] The present invention proposes a method for optimizing the yaw control parameters of wind turbines based on SCADA data, the steps of which are as follows: figure 2 As shown, the specific implementation steps are described as follows:

[0063] Step 1: Determine the parameter optimization interval

[0064] At present, wind farms of the same type generally specify the same yaw deviation threshold and delay time, and the wind speed partition boundary is generally a certain empirical wind speed value or rated wind speed value, and there is no unified standard. The present invention obtains the wind speed probability distribution curve based on the SCADA data of a single unit, and identifies the wind speed V corresponding to the "peak value" of the probability curve. m , with V m The rated wind speed V e The following wind speed range is divided into 2 ranges, ...

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Abstract

The invention belongs to the technical field of wind generation set control, and particularly relates to an SCADA data-based yaw control parameter optimization method for a wind generation set. The method specifically comprises the steps that firstly, parameter optimization intervals are determined; the optimization ranges of optimized yaw control parameters, namely yaw deviation threshold values and delay time; SCADA data is preprocessed; an initial population is generated; fitness function values are calculated; the selection probability Psi of each individual is calculated on the basis of the fitness function values; selection is performed by adopting a roulette wheel method, so that a parent is obtained for breeding a next-generation population; a new population is generated from the initial population by utilizing a crossover operator and a mutation operator; and if the number of iterations is larger than a maximum number of genetic generations, calculation is terminated, and optimum yaw deviation threshold values and delay time are output. By adopting the method, an optimized result has a higher self-adaption level and higher pertinence; and the output performance of the generation set is obviously enhanced, and yaw time cannot be obviously improved.

Description

technical field [0001] The invention belongs to the technical field of control of wind power generators, in particular to a method for optimizing yaw control parameters of wind power generators based on SCADA data. Background technique [0002] At present, active yaw control technology is used in large wind turbines. Yaw control is also called steering control to ensure that the wind rotor can track the wind direction, make full use of wind energy, and improve the power generation efficiency of wind turbines. The typical yaw control principle is as follows: figure 1 . The system measures the wind direction signal through the wind vane, sends the measured wind direction signal to the yaw controller for wind direction data processing, and then determines whether to yaw and determine the yaw direction according to the control strategy, and finally makes the wind wheel face the wind direction. Considering the measurement error of the wind vane and the turbulent characteristic...

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Application Information

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IPC IPC(8): F03D7/02
CPCF03D7/0204F05B2270/20F05B2270/32Y02E10/72
Inventor 高峰吕跃刚郭鹏凌新梅刘强
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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