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Identification method for wind power abnormal data points

A technology of abnormal data and wind power, applied in the direction of electrical digital data processing, wind power generation, wind engine control, etc., can solve the problems of probability distribution distortion, abnormal data points, and reduce the accuracy of modeling, etc., to achieve recognition accuracy The effect of high and reliable data sources

Inactive Publication Date: 2015-12-09
STATE GRID CORP OF CHINA +2
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Problems solved by technology

However, in actual operation, due to the interference of communication failures, wind turbine off-grid, and artificial wind power abandonment, there are often abnormal data points in the measured historical data of wind power.
[0003] If the historical power data containing abnormal data points are directly used in the modeling of wind power characteristics, the obtained probability distribution will be distorted, and the accuracy of modeling will be reduced, thereby affecting the effectiveness of operational decision-making results

Method used

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  • Identification method for wind power abnormal data points
  • Identification method for wind power abnormal data points
  • Identification method for wind power abnormal data points

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Embodiment Construction

[0012] The technical solution of the present invention will be further described in detail below according to the drawings in the description and in combination with specific embodiments.

[0013] see figure 1 The method for identifying abnormal data points based on the wind farm equivalent power curve and typical abnormal point data characteristics provided by the first embodiment of the present invention includes the following steps:

[0014] Step S10, by calculating the upper and lower boundaries of the equivalent power curve when the wind speed is different, the equivalent power curve of the wind farm is obtained.

[0015] In step S10, in order to obtain the equivalent power curve, the conditional probability distribution model of the output power is first established under the condition of a certain wind speed value, and the conditional probability distribution model corresponding to the binary random variable is established. This embodiment adopts the Copula method to es...

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Abstract

The invention relates to an identification method for wind power abnormal data points. The identification method includes the tenth step that, a wind power plant equivalent power curve is obtained according to values, taken when wind speed values are different, of the upper boundary and the lower boundary of an equivalent power curve, the twentieth step that characteristics of the typical abnormal data points of the four types, namely, the type 1, the type 2, the type 3 and the type 4, caused by three common events of communication faults, man-made wind abandoning and off-net of wind turbines are summarized, and the thirtieth step that identification criteria corresponding to abnormal data points of different types are established so that the abnormal data points of the four types can be identified.

Description

technical field [0001] The invention relates to a method for identifying abnormal data points of wind power, in particular to a method for identifying abnormal data points based on wind farm equivalent power curves and data characteristics of typical abnormal points. Background technique [0002] The measured historical data of wind power is an important basis for wind power modeling and operation analysis. However, in actual operation, due to the interference of communication failures, wind turbine off-grid, and man-made wind power abandonment, there are often abnormal data points in the measured historical data of wind power. [0003] If historical power data containing abnormal data points are directly used in wind power characteristic modeling, the obtained probability distribution will be distorted, and the accuracy of modeling will be reduced, thereby affecting the effectiveness of operational decision-making results. Therefore, the correct identification of wind powe...

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Application Information

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IPC IPC(8): F03D7/00G06F19/00
CPCY02E10/72
Inventor 鲁宗相乔颖叶希王尤嘉
Owner STATE GRID CORP OF CHINA
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