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Method for evaluating reliability of large-scale wind power plant based on control variable sampling

A technology for controlling variables and reliability. It is used in electrical digital data processing, special data processing applications, instruments, etc., and can solve problems such as low efficiency, low evaluation efficiency, and difficulty in reliability modeling.

Inactive Publication Date: 2015-09-30
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the problems of difficult reliability modeling, low evaluation efficiency, large sampling capacity and low efficiency of the Monte Carlo method in the prior art, and provide a method based on control variable sampling The large-scale wind farm reliability assessment method, the large-scale wind farm reliability assessment method is a fast convergence method based on control variable sampling

Method used

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  • Method for evaluating reliability of large-scale wind power plant based on control variable sampling
  • Method for evaluating reliability of large-scale wind power plant based on control variable sampling
  • Method for evaluating reliability of large-scale wind power plant based on control variable sampling

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Embodiment

[0069] Taking the IEEE-RTS79 system as an example, the reliability assessment method of large-scale wind farms based on control variable sampling is described. The power distribution system has 32 conventional units and 8760 load points. The single-unit power generation output of the wind turbine is 1MW, and there are 100 units in total. Set wind speed Weibull distribution parameters: scale parameter c=7.03, shape parameter k=2.02.

[0070] From the literature [Chen Shuyong, Dai Huizhu, Bai Xiaomin, et al. Wind farm power generation reliability model and its application [J]. Chinese Journal of Electrical Engineering, 2000, 20(3): 26-29.] we can see that considering the wake of the wind farm effect, a typical coefficient of 0.9 can be used. Insufficient power expectation (LOEE, unit MWh·a -1 ) as the convergence criterion.

[0071] For the convenience of comparative analysis, the Monte Carlo method (MC), equidistributed sampling method (SS) and analytical method algorithms ...

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Abstract

The invention belongs to the field of the reliability of a power generation system, and discloses a method for evaluating the reliability of a large-scale wind power plant based on control variable sampling. The method is particularly suitable for evaluating the reliability of the large-scale wind power plant. The method includes the steps that a control variable method is used for sampling the power generation system including the large-scale wind power plant, a K-means method is used for establishing a new load model, the reliability index of conventional set sampling is used as a new state function constructed by control variables, and an analytical method is used for calculating the reliability index of a conventional set; the conventional set and a wind generation set are sequentially sampled, the reliability index of the conventional set and the reliability indexes of all sets are calculated, and the system reliability index of the sampling at this time can be calculated according to the new state function; through repeated cyclic sampling, the final reliability index of the calculation system can be counted. According to the method, the advantage of being accurate in analytical method and the advantage of being easy to model in a simulation method are combined; compared with a traditional analytical method, the modeling process is simple and visual; compared with a conventional Monte Carlo method, the precision of the obtained reliability index is high, and sampling efficiency is greatly improved.

Description

technical field [0001] The present invention relates to a large-scale wind farm reliability evaluation technology, which belongs to the reliability field of wind power generation, and in particular to a large-scale wind farm reliability evaluation method based on control variable sampling, the large-scale wind farm reliability evaluation method It is an evaluation method of reliability index of power generation system. Background technique [0002] In recent years, due to the increasing improvement of wind power generation technology and the further reduction of power generation costs, wind power has become the most competitive and fastest-growing new energy, and is gradually moving towards large-capacity and large-scale. However, due to the random and intermittent characteristics of wind power generation, large-scale wind power grid integration will increase the uncertainty of power system reliability. In this context, it is an urgent problem to effectively evaluate the rel...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 刘前进邱轩宇施超许慧铭余涛
Owner SOUTH CHINA UNIV OF TECH
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