Short-term wind driven generator output power predicting method based on correction algorithm

A wind turbine output power technology, which is applied in the field of short-term wind turbine output power prediction based on correction algorithms, can solve problems such as inaccurate prediction results

Active Publication Date: 2012-07-11
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

[0014] The object of the present invention is to propose a short-term wind generator output power prediction method based on a correction algorithm for the inaccurate prediction results of the existing short-term wind generator output power prediction method

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  • Short-term wind driven generator output power predicting method based on correction algorithm
  • Short-term wind driven generator output power predicting method based on correction algorithm
  • Short-term wind driven generator output power predicting method based on correction algorithm

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Embodiment Construction

[0062] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0063] Figure 4 It is a flow chart of the short-term wind generator output power prediction method based on the correction algorithm. Figure 4 Among them, the method provided by the invention comprises:

[0064] Step 1: Set the first time length T 1 = 720 hours and the second length of time T 2 = 24 hours.

[0065] Step 2: For the first length of time T 1 =720 hours of numerical weather forecast wind speed historical data for correction.

[0066] In this embodiment, the numerical weather forecast wind speed historical data of the whole month of April 2006 is used as the numerical weather forecast wind speed historical data of the first time length and corrected, as Figure 5 As shown, the specific process is: ...

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Abstract

The invention discloses a short-term wind driven generator output power predicting method based on a correction algorithm in the technical field of management and control of generator output power. The method comprises the following steps of: setting a first time length T1 and a second time length T2; correcting numerical weather prediction (NWP) wind speed historical data of the first time length T1; training a back propagation (BP) neural network by using the corrected NWP historical data as an input value and using the actually measured output power of a wind driven generator corresponding to the NWP historical data as an output value; correcting NWP future data of the second time length T2; inputting the corrected NWP future data serving as an input value to the BP neural network trained in the step 3 for calculating, wherein the acquired output value is the wind driven generator output power predicting result. By the method, the accuracy of short-term wind driven generator output power prediction is improved.

Description

technical field [0001] The invention belongs to the technical field of generator output power management and control, in particular to a short-term wind generator output power prediction method based on a correction algorithm. Background technique [0002] The inherent randomness and intermittent nature of wind power make large-scale grid-connected wind farms one of the variables for the safe operation of power systems. Therefore, improving the prediction accuracy of wind farm power has become an urgent requirement for power companies and wind power companies. Using the data correction algorithm, the time redundancy information in the forecast can be used, and the forecast data can be processed by comprehensive wavelet analysis, pattern recognition and statistical techniques, and the random error and significant error contained in the forecast data can be eliminated, thereby improving the accuracy of the wind farm power forecast results. precision. [0003] The work of dat...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F03D9/00G01L3/24G06N3/08
CPCY02E10/72Y02A30/00
Inventor 杨志凌刘永前
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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