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A wind power prediction method and system

A wind power prediction and wind power technology, which is applied in system integration technology, information technology support system, data processing application, etc., can solve the problems of low calculation efficiency and low accuracy of wind power prediction.

Active Publication Date: 2020-10-27
STATE GRID CORP OF CHINA +2
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Problems solved by technology

[0004] Aiming at the problems of low computational efficiency and low accuracy of wind power forecasting, the purpose of the present invention is to provide a wind power forecasting method and system, which can take into account the wind power forecasting process by combining the wind power interval forecasting method with the scene forecasting method The rapidity and accuracy of prediction results provide a reference for the operation and planning decision-making of power systems including wind power

Method used

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  • A wind power prediction method and system
  • A wind power prediction method and system
  • A wind power prediction method and system

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Embodiment

[0038] The historical wind power data used in this example are the measured values ​​of wind power for a total of 364 days from June 1, 2015 to May 29, 2016 of the wind farms under the jurisdiction of German power grid operator TransnetBW, and the number of clusters K is set to 5 ,use figure 2 The shown K-means clustering method clusters the original scenes in each time period, and finally generates the final cluster centers in each time period, and the statistics are shown in Table 1 below. The final cluster center generated in each period is the representative scene of the period. For example, the five representative scenes in period 1 are 23MW, 10MW, 179MW, 29MW and 79MW respectively.

[0039] Table 1 Final cluster centers in each time period

[0040] period 1 period 2 period 3 period 4 period 5 Period 6 Period 7 period 8 Period 9 time period 10 Period 11 Period 12 class 1 23 8 119 61 16 32 17 25 204 185 126 40 Class 2...

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Abstract

The invention relates to a wind power prediction method and system. The method comprises the following steps: step one, on the basis of historical data of a wind power, carrying out scene prediction and interval prediction on a wind power within preset time periods to obtain representative scene sets and the interval prediction results of the wind power during all preset periods; step two, withinthe preset periods, screening the representative scene sets within the same periods based on the obtained interval prediction results; and step three, connecting all screened representative scene setsof all preset periods according to a time sequence to obtain a daily wind power sequence with consideration of the time correlation, and carrying out wind power prediction based on the daily wind power sequence. With the method provided by the invention, the accuracy of prediction of the wind power is improved substantially; the calculation load is reduced; and the calculation efficiency is high.The wind power prediction method and system can be applei dto the wind power prediction field widely.

Description

technical field [0001] The present invention relates to the field of wind power prediction, and more specifically, relates to a wind power prediction method and system based on the combination of interval prediction and scene analysis. Background technique [0002] The change of wind power output has certain characteristics such as randomness and volatility, and at the same time has certain seasonal and intraday changes. pose serious challenges. The improvement of wind power prediction accuracy will help the power system dispatching department to arrange dispatching plans reasonably and effectively reduce the impact of wind power on the entire power grid. [0003] At present, wind power forecasting methods mainly include deterministic point forecasting, interval forecasting and scene forecasting. Point forecasting technology is the most mature but has the disadvantage of low forecasting accuracy. Interval forecasting can give the fluctuation range of wind power output in t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06375G06Q50/06Y02E40/70Y04S10/50
Inventor 蒋维勇张海波刘建琴邹欣王峤
Owner STATE GRID CORP OF CHINA
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