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Method and device for power predication of wind power station

A technology of power forecasting and forecasting methods, applied in forecasting, instrumentation, data processing applications, etc., can solve the problems of low forecasting accuracy of wind farm power forecasting methods, and achieve the goal of improving power dispatching levels, avoiding inaccuracies, and eliminating differences Effect

Inactive Publication Date: 2012-11-07
SINOVEL WIND GRP
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Problems solved by technology

[0009] The present invention aims to provide a wind farm power prediction method and a prediction device to solve the problem of low prediction accuracy of the wind farm power prediction method in the prior art

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  • Method and device for power predication of wind power station
  • Method and device for power predication of wind power station
  • Method and device for power predication of wind power station

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Embodiment Construction

[0025] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0026] figure 1 is a wind farm power prediction device according to an embodiment of the present invention, such as figure 1 As shown, the wind farm power forecasting device in the embodiment of the present invention includes: a weather forecast acquisition module 11, which is used to acquire the weather forecast data output by the numerical weather forecast system; a meteorological forecast module 13, which is used to optimize the weather forecast data by using CFD software Calculate to obtain the weather forecast data of the wind farm; the power forecast module 15 is used to obtain the power forecast data of the wind farm according to the weather forecast data using the corresponding relatio...

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Abstract

The invention provides a method and a device for power predication of a wind power station. The method for power predication of the wind power station includes: acquiring weather forecast data outputted by a numerical weather forecast system; using CFD (computational fluid dynamics) software for optimization calculation of the weather forecast data to obtain weather predication data of the wind power station; using a preset corresponding relation between an output power and weather data in a statistic model to obtain power predication data of the wind power station according to the weather predication data; and outputting the power predication data. Using the method and the device for power predication of the wind power station realizes data coupling of the numerical weather forecast system and a CFD system and obtains more precise point positions of fans and weather information of wind speed, wind direction and the like at the heights of the fans, the power predication data are obtained by means of the statistic model according to the weather predication data, inaccuracy caused by a power curve iterative computation mode is avoided, difference of power curves of different fans is eliminated, and accordingly precision in power predication of the wind power station is improved.

Description

technical field [0001] The invention relates to the field of new energy, in particular to a wind farm power prediction method and a prediction device. Background technique [0002] The proportion of wind power generation in the power system is increasing at an annual rate of 30%. However, due to the characteristics of wind energy, such as volatility, intermittency, low energy density, and uncontrollability, wind power is also fluctuating and intermittent. The large-capacity wind power connected to the grid will bring some new problems to the safe and stable operation of the power system, especially the impact on the operation and dispatch of the power system. Therefore, it is of great significance to develop and use wind farm power forecasting methods. [0003] Wind farm power prediction is a very complex problem, involving various related interdisciplinary disciplines, such as meteorology, fluid dynamics, stochastic process and other disciplines, among which numerical wea...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
Inventor 汪锋叶红王颖朴金姬甘家飞
Owner SINOVEL WIND GRP
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