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Wind speed fluctuation characteristic modeling method based on stochastic partial differential equations

A partial differential equation and wind speed fluctuation technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of single and constant wind speed trend, unable to reflect the statistical characteristics of wind speed, unable to reflect various trends of wind speed changes, etc. , to achieve the effect of improving the modeling method

Inactive Publication Date: 2016-09-07
YANTAI NANSHAN UNIV
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Problems solved by technology

These models can simulate the frequency characteristics of wind speed changes well, but because they all use a constant average wind speed constant as the low-frequency component, within the corresponding single time scale, the wind speed trend is relatively single and unchanged, and cannot reflect the various trends of wind speed changes , and cannot reflect the statistical characteristics of wind speed on small and medium time scales. Therefore, we propose a modeling method for wind speed fluctuation characteristics based on stochastic partial differential equations

Method used

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Embodiment

[0012] Embodiment: A kind of wind speed fluctuation characteristic modeling method based on stochastic partial differential equation of the present invention, concrete steps are as follows:

[0013] Step 1: First, make the wind farms arranged in a rectangular shape.

[0014] Step 2: The operating conditions of each row or column of wind turbines in a rectangular wind farm are the same, and the natural wind speed is taken as the input wind speed of the first row of wind turbines perpendicular to the wind direction, and then multiplied by a wake coefficient less than 1 as the second wind speed. The input wind speed of the row of wind turbines, and so on, to obtain the corresponding input wind speed of each row of wind turbines.

[0015] Step 3: Equivalent each row of wind turbines to a single wind turbine, and use one or more equivalent wind turbines to simulate the entire wind farm.

[0016] It should be noted that the present invention is a modeling method of wind speed fluct...

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Abstract

The invention belongs to the technical field of a modeling method, and discloses a wind speed fluctuation characteristic modeling method based on stochastic partial differential equations (SPDE). A wind farm modeling method is proposed to establish a wind farm stochastic model, the wind farm operating characteristics are simulated, in order to achieve predictable and controllable goal services of large scale wind power generation, through simulation comparison between a wind farm equivalent model and a detailed model, the rationality of the modeling method is verified, and a wind farm model considering random fluctuations in the wind speed and direction in the study of wind farm dynamic characteristics and the influence thereof on a power grid. The invention can adjust the predictable angles of fluctuation wind speed and direction randomly, and improves the wind speed fluctuation modeling method.

Description

technical field [0001] The invention specifically relates to a modeling method for wind speed fluctuation characteristics based on stochastic partial differential equations, and belongs to the technical field of modeling methods. Background technique [0002] Under the background of the rapid development of renewable energy, the proportion of wind power in the power system is gradually increasing, and the access of wind power has brought an important impact on the planning and operation of the power system. The random fluctuation of wind speed itself has an impact and influence on the operation of the power system, which is an uncertain factor; in addition, the access of wind power increases the random fluctuation of system node voltage, frequency and branch power flow. Therefore, establishing a real wind speed change model and determining its change rule are important prerequisites for studying the dynamic characteristics of a power system including wind power. [0003] At...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/367
Inventor 孔德斌张成学
Owner YANTAI NANSHAN UNIV
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