A wind farm fleet division method

A technology for fleet division and wind farm, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of low quality of wind farm fleet division

Inactive Publication Date: 2017-04-12
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The object of the present invention is to propose a method for dividing wind farm fleets in view of the low quality of current wind farm fleet division, which is characterized in that the method includes the following steps:

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  • A wind farm fleet division method

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Embodiment Construction

[0061] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0062] A method for dividing wind farm fleets proposed by the present invention, the specific flow chart is as follows figure 1 As shown, it mainly includes the following steps:

[0063] Step 1: Data processing of isolated point data of wind farm actual measurement data;

[0064] Step 2: Initial cluster center optimization process;

[0065] Step 3: Cluster division, judging whether the termination condition is satisfied; if yes, the cluster division ends; otherwise, perform step 4;

[0066] Step 4: Update the cluster center;

[0067] In step 1, the data processing process of the isolated point data of the wind farm measured data is as follows:

[0068] Assuming that there are n wind turbines in the wind farm connected to the grid in a certain period of time, the measured operating data of the grid-connected wind turbines in this period of time (mea...

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Abstract

The invention belongs to the field of simulation of electric power systems, and particularly relates to a cluster classification for a wind power plant. Clusters are classified in a unit of the wind power plant according to the actually measured operating data of the wind power plant. In the process of acquiring the data, the actually measured data probably contain noise data because of the factors like the defect or the execution error of a measurement system. In order to reduce the interference of the noise data, the isolated point data in the actually measured operating data of the wind power plant are firstly processed according to the potential value of a sample point. When the central initial positions of the two clusters are nearer during the cluster classification, more redundant information is contained, and the classification result easily becomes the locally best. Aiming at the problem, a sample group with the smallest Euclidean distance moves towards the mean value point, the mean value of the moved sample group replaces the original sample group, so that the method acquires the central position of the diversified initial clusters, and the global searching ability is improved. By the adoption of the cluster classification for the wind power plant, provided by the invention, wind turbine generators having the near operating points are classified in the same cluster, and the equivalent modeling approach for the wind power plant is optimized.

Description

technical field [0001] The invention belongs to the field of power system simulation, and in particular relates to a method for dividing a wind farm machine group. Background technique [0002] In recent years, with the further aggravation of fossil energy crisis, environmental pollution and greenhouse effect, people pay more and more attention to low-cost, pollution-free and renewable wind power generation. Wind power has become the most widely used and developed The fastest and most technologically mature form of renewable energy generation. With the development of wind power generation and grid-connected technology, the negative impact of wind farms on the grid is becoming more and more obvious. In order to analyze the impact of wind power grid-connected on the system, it is necessary to establish an accurate and reasonable wind farm model. [0003] The traditional single-machine equivalent model assumes that the wind speed distribution in the field is uniform, and the o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06F17/50
CPCG06Q10/04G06Q50/06Y02D10/00
Inventor 林俐潘险险赵双张凌云李丹李亮玉李凯吴聪聪邹兰青周鹏李诗童
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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