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Wind turbine generator operation data interpolation method

A technology of operating data and wind turbines, applied in wind power generation, wind turbines, wind turbine control, etc., can solve problems such as inconsistency, hidden dangers of data business processing and data analysis, redundancy, etc., and achieve accurate and reliable data foundation and practical methods Feasible, integrity-enhancing effect

Pending Publication Date: 2020-11-03
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +1
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AI Technical Summary

Problems solved by technology

[0003] During the actual operation of wind turbines, due to sensor failures, optical fiber ring network communication failures, unit power failures, data acquisition interface failures, acquisition software and hardware downtime, etc., data incompleteness, inconsistency, redundancy, conflicts, errors, etc. Problems, data quality problems have brought potential hidden dangers to information monitoring, business processing and data analysis

Method used

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  • Wind turbine generator operation data interpolation method
  • Wind turbine generator operation data interpolation method
  • Wind turbine generator operation data interpolation method

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Embodiment

[0047] see figure 1 , is a wind turbine operating data interpolation method provided by an embodiment of the present invention, such as figure 1 As shown, the method includes determining the data type of the missing data to be interpolated and the time window of the missing data to be interpolated, and the data type includes environmental data and / or unit data;

[0048] Determine the interpolation strategy corresponding to the data type according to the data type to complete the interpolation of missing data; specifically, the data type is environmental data, and the interpolation strategy includes a first interpolation strategy, the first interpolation strategy Strategies include:

[0049] Using a method based on two-way group similarity groups to acquire environmental data for a period of time before the time window and environment data for a period of time after the time window.

[0050] Further, according to the environmental data of a period of time before the time wind...

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Abstract

The invention discloses a wind turbine generator operation data interpolation method, which comprises the steps of determining a data type of missing data to be interpolated and a time window of the missing data to be interpolated, with the data type comprising environmental data and / or unit data; and determining an interpolation strategy corresponding to the data type according to the data type to complete interpolation of missing data. An operation data interpolation method formed on the basis of multivariate time series data analysis, working condition identification and deep learning is utilized, the method is practicable and reasonable in conclusion, the integrity of the operation data of the wind turbine generator is improved, and an accurate and reliable data basis is provided for subsequent data analysis and mining.

Description

technical field [0001] The present invention relates to the technical field of data interpolation, in particular to a wind turbine operating data interpolation method formed on the basis of multivariate time series data analysis, working condition identification and deep learning. Background technique [0002] Under the background of the current energy environment, the development of new energy power generation, especially wind power generation, has received extensive attention. The development of wind power has become an important way to reduce the national economy's dependence on fossil energy, solve the contradiction between energy production and consumption, and reduce greenhouse gas emissions to maintain ecological balance. With the continuous increase of the dual pressure of resources and environment, the development of wind power has become the development direction of future energy utilization in my country and even in the world. [0003] During the actual operation...

Claims

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Application Information

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IPC IPC(8): G06F17/18G06N3/04F03D7/00
CPCG06F17/18F03D7/00G06N3/044G06N3/045Y02E10/72
Inventor 尹诗侯国莲朱志成迟岩周继威胡晓东
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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