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Cleaning method for wind power data of wind generating set

A technology for data cleaning and wind turbines, applied in wind turbine combinations, wind power generation, wind turbines, etc., can solve problems such as impact analysis and application reliability, and achieve reliable and effective cleaning, reasonable process, and good cleaning effect.

Active Publication Date: 2018-08-17
TONGJI UNIV
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  • Description
  • Claims
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Problems solved by technology

[0003] Traditional data cleaning methods often fail when encountering a large amount of accumulated abnormal data. Data cleaning is the basis of data mining and directly affects the reliability of subsequent analysis and applications.

Method used

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  • Cleaning method for wind power data of wind generating set
  • Cleaning method for wind power data of wind generating set
  • Cleaning method for wind power data of wind generating set

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Embodiment

[0059] The wind power curve is a curve describing the relationship between the wind speed and the output power of the unit. It is not only an important basis for designing the control system of wind turbines, but also an important indicator for evaluating the power generation performance of wind turbines and the operation status of wind farms. Data collected from wind farms usually contain a large number of abnormal data points. There are many reasons for abnormal data, including unplanned downtime, wind curtailment, wind speed sensor failure, communication equipment failure, electromagnetic interference, wind turbine off-grid, extreme weather conditions, wind turbine blade dirt or damage and other factors. Abnormal data generated by different reasons have different distribution characteristics on the wind power curve. According to the distribution characteristics of the data points on the wind power curve, the abnormal data can be divided into four categories, including the ...

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Abstract

The invention relates to a cleaning method for the wind power data of a wind generating set. The method comprises the following steps that (1) the wind power data to be cleaned are divided into a plurality of data intervals according to the wind speed; (2) each data interval is subjected to data cleaning by adopting a variable-point grouping-quartile method, and abnormal data are removed; and (3)the cleaned data intervals are combined to obtain the cleaned wind power data. Compared with the prior art, the method has the advantages of being good in data cleaning effect, high in efficiency andhigh in universality.

Description

technical field [0001] The invention relates to the technical field of big data of wind power generation, in particular to a method for cleaning wind power data of a wind turbine. Background technique [0002] Wind power is a clean, renewable energy source that is rapidly becoming an important part of sustainable development and energy strategies. However, the randomly changing wind speed and wind direction in the process of wind power generation make the wind power have the characteristics of volatility, intermittent and randomness, which have adverse effects on the stability and reliability of the power system operation. An important means to eliminate these adverse effects is to improve the predictability of wind power generation through the mining of wind turbine operation data. The wind power curve obtained by measuring wind speed and power can be used to evaluate the performance and operation status of wind turbines, and is of great value in judging wind turbine fault...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F03D80/55F03D17/00F03D9/25
CPCF03D9/25F03D17/00F03D80/55Y02E10/72
Inventor 沈小军付雪姣周冲成
Owner TONGJI UNIV
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