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A method for optimal start-up control of wind turbines

A technology of wind turbines and wind turbines, applied in wind power generation, electrical components, circuit devices, etc., can solve the problems of increased failure rate, increased unit self-consumption and equipment fatigue loss, etc., so as to reduce the failure rate and improve the overall The effect of power generation and guaranteed power generation capacity

Active Publication Date: 2019-04-23
XIAN THERMAL POWER RES INST CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This type of start-up does not bring much power generation, but instead increases the self-consumption of the unit and equipment fatigue loss, which increases the failure rate

Method used

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  • A method for optimal start-up control of wind turbines
  • A method for optimal start-up control of wind turbines
  • A method for optimal start-up control of wind turbines

Examples

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Embodiment Construction

[0046] Such as figure 1 As shown, the present invention will be further described in detail below in conjunction with an example of optimal start-up control of a certain type of wind turbine in a wind farm in August 2015 during the small wind period.

[0047] 1) Select 3 units with high startup times, high power consumption and high failure rate as the test unit. Test unit numbers: D-05, E-19, F-26.

[0048] 2) Collect the wind speed data of the test unit for the first 5 days in August, and use the average wind speed every 10 minutes as a sample point, a total of 720 sample points, and use the time series analysis method to establish the AR(p) model of the wind speed sequence.

[0049] D-05 wind speed sequence model:

[0050] x(k+1)=0.548x(k)+0.169x(k-1)-0.0078x(k-2)+0.2487x(k-3)+w(k)

[0051] E-19 wind speed sequence model:

[0052] x(k+1)=0.768x(k)-0.2453x(k-1)+0.0078x(k-2)+w(k)

[0053] F-26 wind speed sequence model:

[0054] x(k+1)=0.698x(k)+0.3753x(k-1)+0.0102x(k-2...

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Abstract

The invention discloses a wind turbine generator system optimal start control method. According to the method, an AR(p) model of a wind velocity series is established by utilizing a time series analysis method, a predicted value of a wind velocity in 10min in the future is obtained by utilizing a kalman filtering algorithm, and then an average wind velocity in first 10min and a predicted wind velocity in 10min are combined to be used as a basis of executing a fan starting action, so that power generation capacity after a fan is started is sufficiently ensured, unreasonable start-up of the fan in low-wind-velocity seasons is reduced, a service life of equipment is prolonged, an availability ratio of the equipment is improved, power self-consumption is reduced, and electric energy production is improved.

Description

Technical field: [0001] The invention belongs to the technical field of wind power generation in an electric power system, and in particular relates to a method for optimal start-up control of a wind power generating set. Background technique: [0002] With the development of my country's wind power technology and the emphasis on the development and utilization of renewable energy, wind power has developed rapidly in my country in recent years. In 2012, a total of 53,764 wind turbines were installed nationwide, with an installed capacity of 75,324.2MW. In 2013, the cumulative installed capacity nationwide The capacity is 91412.89MW. As of December 2014, a total of 76241 wind turbines have been installed nationwide, with a cumulative installed capacity of 114609MW. [0003] The increase in wind power installed capacity will inevitably put forward higher requirements on the utilization efficiency and reliability of wind turbines. Due to the frequent and random changes in wind ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06H02J3/38
CPCG06Q10/04G06Q10/06313G06Q50/06H02J3/386H02J2203/20Y02A30/00Y02E10/76Y02E40/70Y04S10/50
Inventor 姚玲玲王靖程马剑民牛瑞杰郭辰冯笑丹
Owner XIAN THERMAL POWER RES INST CO LTD
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