Cluster classification method for wind power plant

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: 2014-07-30
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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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

Method used

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  • Cluster classification method for wind power plant
  • Cluster classification method for wind power plant
  • Cluster classification method for wind power plant

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Embodiment Construction

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

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

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

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

[0065] Step 3: The cluster is divided, and it is judged whether the termination condition is met; if so, the cluster division is ended; otherwise, step 4 is performed;

[0066] Step 4: Update the fleet center;

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

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

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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 fleet. Background technique [0002] In recent years, with the further aggravation of problems such as fossil energy crisis, environmental pollution and greenhouse effect, people's attention to low-cost, pollution-free and renewable wind power generation has gradually increased. Wind power generation has become the most widely used and developed in the world today. The fastest and most technologically mature way of generating electricity from renewable energy. With the development of wind power generation and grid-connected technology, the negative impact of wind farms on the power 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 assum...

Claims

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Application Information

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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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