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Wind power prediction method considering wake effect

A wind power prediction and wake effect technology, applied in the direction of prediction, calculation, data processing applications, etc., can solve the problems of limited accuracy and no consideration of wake effect, etc., to achieve the effect of wind power power

Active Publication Date: 2015-11-11
ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
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Problems solved by technology

[0007] The Chinese invention patent with application number 201110105289.X proposes a short-term prediction method of wind power, which uses quantum evolutionary algorithm to select the optimal sample for wind power prediction, but does not consider the wake effect, and the accuracy is limited

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  • Wind power prediction method considering wake effect
  • Wind power prediction method considering wake effect
  • Wind power prediction method considering wake effect

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Embodiment Construction

[0019] The present invention will be described in further detail below with reference to the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0020] The present invention considers the wind power prediction method of wake effect, comprises the following steps:

[0021] Such as figure 1 As shown, the first step: obtain the NWP data, according to the spatial distribution consistency of the wind speed, use the inverse distance method to perform spatial difference on the NWP wind speed data, and obtain the wind speed at x in, x represents space coordinates, x i Indicates the spatial coordinates of the sampling location i, u(x i ) represents the wind speed data at sampling location i, λ i Indicates the weight of sampling position i, l i Indicates the Euclidean distance;

[0022] Step 2: Use the wind vertical shear power law to calculate the height difference of the wind speed from the NWP wind speed data to o...

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Abstract

The invention provides a wind power prediction method considering the wake effect. The method is characterized by comprising the following steps that (1) spatial difference is performed on NWP wind speed data by adopting an inverse distance method according to spatial distribution consistency of wind speed so that wind speed (the expression is described in the specification) of x is obtained, wherein (the expression is described in the specification) x refers to spatial coordinates, x refers to the spatial coordinates of the sampling position i, u(x) refers to the wind speed data of the sampling position i, lambda refers to the weight of the sampling position i, and l refers to Euclidean distance; (2) height difference of wind speed is realize by using the law of wind vertical shear power so that wind speed v<2>=v<1>(h<2> / h<2>)<alpha> of height h<2> is obtained, wherein alpha is a vertical wind shear index, v(2) is wind speed of height h<2>, and v<1> is wind speed of height h<1>; (3) wind speed of an actual operation blower is obtained according to a wake model and blower position data; and (4) corresponding power of the blower is obtained according to the wind speed-power curve of the actual operation blower. The wake effect and the wind speed-power curve of the actual operation blower are fully considered so that accurate prediction of wind power can be realized.

Description

technical field [0001] The invention relates to the technical field of wind power forecasting, in particular to a wind power forecasting method taking into account the wake effect. Background technique [0002] With the continuous and rapid development of my country's economy, the demand for energy has increased sharply, wind power has been vigorously developed, and the installed capacity of wind power has grown rapidly. Due to the volatility of wind power output, the centralized connection of large-scale wind power to the power grid poses a severe challenge to the safe and stable operation of the power system. Short-term forecasting of wind farm output and reducing the uncontrollability of wind power output is an important way to solve the problem of wind power grid integration. If the output of the wind farm can be predicted with high precision in the next 72 hours, and the prediction result can be reported to the power dispatching system, the dispatching system can reaso...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
Inventor 陈晓科曾杰徐晓刚杨苹杨汾艳李鑫张弛黄嘉健李兰芳汪进锋黄杨珏邹澍许志荣梁裕恒肖子龙蔡玲珑
Owner ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
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