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Correlation-associated wind power output scene construction method

A technology of wind power output and construction method, applied in instruments, data processing applications, information technology support systems, etc., can solve the problems of a large number of wind farms, a large number of time sections, and a time-consuming calculation process, and meet the requirements of calculation speed and accuracy. , the effect of increasing speed and reducing scene construction time

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

However, in the calculation of optimal dispatching of wind power considering output correlation, due to the large number of wind farms to be calculated and the large number of time sections to be analyzed each time, the calculation process is very time-consuming

Method used

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  • Correlation-associated wind power output scene construction method
  • Correlation-associated wind power output scene construction method
  • Correlation-associated wind power output scene construction method

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Embodiment

[0063] The present invention takes the actual operation data of three wind farms in Jilin Province as an example to verify the proposed wind power output scene construction method considering the correlation. The three wind farms are Taonan Wind Farm and Taobei Wind Farm in Baicheng area, and Prince Wind Farm in Songyuan area. The time range of the historical operation data of the wind farm is from January 1, 2010 to December 31, 2010, and the time resolution of the data is 15 minutes. The historical operating data of each wind farm is fitted with the Weibull distribution, the corresponding parameters are shown in Table 1, and the fitting results are shown in Figure 2 (a), (b) and (c).

[0064] Table 1 Wind farm information and Weibull distribution fitting parameters

[0065]

[0066] It can be seen from Figure 2(a), (b) and (c) that although Weibull distribution is used to fit the historical operation data of wind farms, although there are certain errors, it can basically...

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Abstract

The invention provides a correlation-associated wind power output scene construction method. The method comprises the following steps: firstly, according to a historical output data statics result of a wind power field, extracting a representative wind power output edge probability distribution function and an output correlation index matrix among the wind power fields; calculating a representative sequence matrix in advance by adopting an off-line mode; and when a wind power output scene needs to be constructed, Latin hypercube sampling is carried out according to a wind power probability prediction result, a sampling matrix is sorted by directly adopting the sequence matrix which is calculated in advance to quickly construct the wind power output scene with correlation, so that the on-line calculation time of scene construction is greatly shortened to meet the practical requirements of engineering.

Description

technical field [0001] The present invention relates to a construction method of new energy power generation and access technology, in particular to a construction method of wind power output scene involving correlation. Background technique [0002] Wind power is affected by various natural factors such as climate, altitude, terrain, and temperature, and it is difficult to predict, resulting in large errors in wind power prediction. With the increase of wind power grid-connected capacity, the influence of its prediction error on the system is also increasing. When wind power optimal dispatching is carried out, it is necessary to regard the wind power prediction results as random variables. At the same time, affected by the correlation of wind resources in the region, there is also a strong correlation between these random variables, which must be considered to make the calculation results realistic. However, in the calculation of optimal dispatching of wind power consideri...

Claims

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Application Information

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IPC IPC(8): G06Q50/06
CPCY02E40/70Y04S10/50
Inventor 刘德伟黄越辉王跃峰刘纯张楠姚秀萍肖桂莲高云峰礼晓飞许晓艳马烁李鹏李丽戴松霖郭小龙马晓磊马锋福郝红岩
Owner STATE GRID CORP OF CHINA
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