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A Wind Farm Output Data Restoration Method Considering the Segmentation Characteristics of Wind Speed ​​Data

A data repair and wind speed data technology, applied in data processing applications, calculations, instruments, etc., can solve problems that affect the application of wind farm output data and cannot be effectively described, and achieve the effects of improving decision-making accuracy, improving accuracy, and correcting abnormal records

Active Publication Date: 2021-05-07
WIND POWER TECH CENT OF GANSU ELECTRIC POWER +4
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Problems solved by technology

[0005] Although this method can largely eliminate the interference of abnormal data on the statistical characteristics of wind farm output, this kind of repair technology can only ensure that the repaired data maintains the same statistical characteristics as normal data in a long period of time.
Even if some restoration techniques take into account the differences in statistical characteristics of wind power in different seasons or between day and night, they still cannot effectively describe the characteristics determined by real-time weather information such as strong wind days and light wind days. The distribution characteristics are very important for the planning and operation of the power system, and the failure to fix these characteristics will seriously affect the application of wind farm output data with a large proportion of anomalies

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  • A Wind Farm Output Data Restoration Method Considering the Segmentation Characteristics of Wind Speed ​​Data
  • A Wind Farm Output Data Restoration Method Considering the Segmentation Characteristics of Wind Speed ​​Data
  • A Wind Farm Output Data Restoration Method Considering the Segmentation Characteristics of Wind Speed ​​Data

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Embodiment Construction

[0024] In order to clearly understand the technical solution of the present invention, its detailed structure will be presented in the following description. Obviously, the implementation of the embodiments of the invention is not limited to specific details familiar to those skilled in the art. The preferred embodiments of the present invention are described in detail below, and there may be other implementations besides those described in detail.

[0025] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0026] refer to figure 1 , the overall flow chart of a method for repairing wind farm output data considering the segmentation characteristics of wind speed data in the present invention, including the main steps of screening and classification of abnormal data, feature extraction of weather information and photovoltaic output parameters, and repair of abnormal data groups, etc. Specifically:

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Abstract

The invention discloses a wind farm output data restoration method considering the segmentation characteristics of wind speed data. The length of the time series is divided into two types: continuous abnormal type and local abnormal type; S2, for the local abnormal type data, the interpolation method is used to obtain the repaired wind farm output data; S3, for the continuous abnormal type data, based on the maximum posterior probability, Use the normal data before and after the abnormal data to judge whether the abnormal data contains segment points, and then obtain the wind speed characteristics of each segment from the normal data or pattern recognition method, based on the wind speed characteristics, use the ARMA model to generate the repaired wind speed, and further obtain the repaired wind power Field output data; S4, verify the validity of the repair data, and output the repair report; improve the decision-making accuracy of auxiliary services in the power grid, and reduce unnecessary system backup.

Description

technical field [0001] The invention belongs to the field of restoration of output data of new energy power stations, and in particular relates to a restoration method of output data of a wind farm taking into account the segmentation characteristics of wind speed data. Background technique [0002] Due to the huge amount of wind energy, wide distribution, cleanliness and no pollution, wind power generation has developed rapidly all over the world. However, due to the randomness, volatility and intermittent characteristics of wind energy, the large-scale connection of wind power will have a huge impact on the power system. Therefore, it is necessary to analyze the historical data of wind farm output connected to the system and extract wind farm output. It provides an important decision-making basis for the dispatch of power grid operation. [0003] However, wind farms are generally located in remote locations and have poor communication conditions. The real-time communicati...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q50/06
CPCG06Q50/06
Inventor 丁坤汪宁渤别朝红周识远谢海鹏李津刘诗雨陈钊
Owner WIND POWER TECH CENT OF GANSU ELECTRIC POWER