Wind power plant active power optimization method based on wind speed time sequence decomposition

A technology of active power and optimization method, applied in climate change adaptation, instrumentation, data processing applications, etc., can solve problems such as unfavorable applications, large amount of calculation for equation solving, and difficult control strategies

Active Publication Date: 2016-03-02
XIANGTAN UNIV
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Problems solved by technology

However, when the wind speed changes dynamically, the research on the active power optimization of the wind farm is still immature. The main reason is that the wind turbine has a strong nonlinearity. According to the investigation, the establishment of the active power optimization equation of the wind farm, due to the extremely large number of possible combinations of time dimensions, the calculation of the equation solution is large, and the corresponding control strategy is difficult to implement, which is not conducive to practical application

Method used

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  • Wind power plant active power optimization method based on wind speed time sequence decomposition
  • Wind power plant active power optimization method based on wind speed time sequence decomposition
  • Wind power plant active power optimization method based on wind speed time sequence decomposition

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Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0044] like figure 1 , 2 Shown, the present invention comprises the following steps:

[0045] Step 1: Convert the wind speed prediction curve of the next control cycle of the wind farm into a discrete wind speed sequence of 30 elements in time series.

[0046] The conversion formula of the discrete wind speed sequence s(m) is:

[0047] s ( m ) = 1 T s ∫ t N + ( m - 1 ) T s t N + mT ...

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Abstract

The invention discloses a wind power plant active power optimization method based on wind speed time sequence decomposition. The method comprises the following steps that step one: a wind speed prediction curve of the next control cycle of a wind power plant is converted into a discrete wind speed sequence; step two: wind speed values corresponding to all elements of the discrete wind speed sequence are regarded as constant natural wind speed, and the active power reference value and initial time thereof of each machine set are calculated respectively under the effect of constant natural wind speed; and step three: an active power reference value control curve of each machine set under the effect of the wind speed sequence is generated by the active power reference value and the initial time thereof of each machine set, and each machine set operates according to the control curve. According to the optimization method, active power optimization of the wind power plant under dynamic wind speed is realized by using lower amount of calculation and less hardware resources so that a scheme with practical value is formed, generation capacity of the wind power plant can be enhanced and the generation benefits of the wind power plant can be enhanced.

Description

technical field [0001] The invention relates to the technical field of wind farm control, in particular to a wind farm active power optimization method based on wind speed time series decomposition. Background technique [0002] In recent years, my country's wind power industry has maintained a strong growth momentum. With the development of wind power, there are fewer and fewer land resources with good wind energy. In order to support the further development of the wind power industry, large-scale development of offshore wind farms has become an inevitable trend. At present, the construction cost of offshore wind farms is relatively high. Improving the power generation efficiency of offshore wind farms and increasing the economic benefits of wind power owners is one of the key issues in the operation of offshore wind farms. [0003] Compared with land wind farms, offshore wind farms are severely affected by wake turbulence. The maximum wind energy capture of a traditional s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y02A30/00Y02E40/70Y04S10/50
Inventor 苏永新李启航段斌易灵芝谭貌吴亚联姚子力
Owner XIANGTAN UNIV
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