Method for processing data and identifying fluctuations of historical wind power output

A wind power output and data processing technology, applied in marketing, information technology support systems, etc., can solve problems such as the extraction of unfavorable wind power laws, failures, affecting the accuracy and reliability of time series modeling, and achieve integrity and continuity. Effect

Active Publication Date: 2014-12-03
STATE GRID CORP OF CHINA +3
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Problems solved by technology

When the SCADA system is running, all links of data acquisition, measurement, transmission, and conversion may fail or be disturbed, resulting in abnormal data. If it is not processed, it will definitely affect the accuracy and reliability of time series modeling
In addition,

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  • Method for processing data and identifying fluctuations of historical wind power output
  • Method for processing data and identifying fluctuations of historical wind power output
  • Method for processing data and identifying fluctuations of historical wind power output

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Embodiment Construction

[0041] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0042] Such as figure 1 , the present invention provides a historical wind power output data processing and fluctuation identification method, the method includes the following steps:

[0043] Step 1: Collect and analyze historical wind power output data;

[0044] Step 2: Perform normalization processing and wavelet filtering processing on the analyzed historical wind power output data, and perform fluctuation division;

[0045] Step 3: Use a visualization method to test the clustering effect of historical wind power output data and wind fluctuations.

[0046] Described step 1 comprises the following steps:

[0047] Step 1-1: Collect historical wind power output data;

[0048] Collect historical wind power output data of the wind farm with a time scale of 15 minutes for one year or more, and the historical wind power output data comes from the SCADA syste...

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Abstract

The invention provides a method for processing data and identifying fluctuations of historical wind power output, which consists of the steps of: collecting historical wind power output data and analyzing & arranging the output data; carrying out the normalization processing and wavelet filtering processing of the analyzed and arranged historical wind power output data and then carrying out fluctuation division; checking the historical wind power output data and the wind fluctuation clustering effect by means of a visualization method. The invention provides the method for processing data and identifying fluctuations of historical wind power output, which can be used as the pre-stage basis of long-term output time series modeling of wind power and can also be used for the planning and operation analysis of the power system including wind power.

Description

technical field [0001] The invention belongs to the technical field of new energy power generation, and in particular relates to a historical wind power output data processing and fluctuation identification method. Background technique [0002] In recent years, wind power technology has continued to develop rapidly, and wind power grid-connected installed capacity has grown rapidly. By the end of 2013, my country's new installed capacity was 16.1GW, and the cumulative installed capacity has reached 91.4GW. However, wind power has strong randomness and is a fluctuating power source. Large-scale access will inevitably bring great challenges to the safe and stable operation of the power system. Therefore, it is necessary to study the uncertainty of wind power output, grasp the change law of wind power output, and on this basis, carry out long-term scale wind power output time series modeling, simulate the change law of wind power, and effectively reduce the impact of wind power...

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Application Information

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IPC IPC(8): G06Q30/02
CPCY04S50/14
Inventor 李驰刘纯黄越辉王跃峰王伟胜刘德伟张楠李群炬金海峰吴涛王丰刘苗李煊高云峰许晓艳李鹏礼晓飞李丽柳阳戴松霖刘延国
Owner STATE GRID CORP OF CHINA
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