Wind power station correlation index acquisition method
An acquisition method and technology for wind farms, applied in wind power generation, electrical components, circuit devices, etc., can solve the problems of not considering the correlation of wind power fluctuation process and inaccurate analysis results.
Inactive Publication Date: 2016-09-14
CHINA ELECTRIC POWER RES INST +1
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The current methods for dealing with the correlation between wind farms are based on the analysis and modeling of the correlation between the corresponding time points of multiple time series, without considering the correlation between the wind power fluctuation process caused by the weather process, resulting in Analysis results are not precise
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[0026] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0027] Such as figure 1 As shown, the present invention provides a method for obtaining a wind farm station correlation index, and the specific implementation steps are as follows:
[0028] Step 1. Collect and organize the historical data of wind power output of k wind farm stations;
[0029] Collect and sort out the historical data of wind power output from multiple wind farms with similar geographical locations and a straight-line distance within 100km, with a time length of 1 year or more and a time scale of 15 minutes;
[0030] Step 2, performing normalization processing on the wind power output historical data of the wind farm station;
[0031] Perform normalization processing to calculate the ratio of the historical wind power output time series of multiple wind farms to the data value of wind power installed capacity at the corresponding time, and ob...
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The invention provides a wind power station correlation index acquisition method. The method comprises the steps of (1), collecting and sorting wind power output history data of k wind power stations; (2), carrying out normalization processing on the wind power output history data of the k wind power stations; (3), dividing a wind power output time sequence into wind power fluctuation processes at local minimum points; (4), carrying out clustering recognition on the wind power fluctuation processes by use of an SOM neural network; (5), calculating a transfer characteristic matrix among the wind power fluctuation processes of the k wind power stations by use of a multi-variable first-order markov process; and (6) outputting correlation transfer probability calculation results among various wind power fluctuation processes of the k wind power stations. According to the method, the correlation among the fluctuation processes of the multiple wind power stations is simulated by use of the multi-variable first-order markov process, and the early technological means is provided for production and simulation of the time sequence containing large-scale wind power.
Description
technical field [0001] The invention belongs to the technical field of new energy power generation, and in particular relates to a method for acquiring a correlation index of a wind farm. Background technique [0002] In recent years, with the large-scale development of wind power, my country's newly installed wind power installed capacity and accumulated wind power installed capacity have ranked first in the world. With the increasing proportion of wind power in the power supply of the entire power system, a deep understanding of the characteristics and laws of wind power output itself can accurately grasp the impact of wind power on the power system, so that the power system can more effectively solve the problem of wind power access. [0003] At the same time, the characteristics of large-scale and contiguous development of wind energy resources in my country determine that wind power in a certain area has a strong correlation, and wind power is a random input variable in...
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IPC IPC(8): H02J3/00H02J3/38
CPCH02J3/00H02J3/386H02J2203/20Y02E10/76
Inventor 李驰刘纯黄越辉王跃峰杨硕礼晓飞马烁许晓艳张楠许彦平潘霄峰王晶李丽
Owner CHINA ELECTRIC POWER RES INST