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Wind farm dynamic equivalent modeling method suitable for long-term wind speed fluctuation

A wind speed fluctuation and dynamic equivalent technology, applied in the value field, can solve the problems of not fully considering the change characteristics of wind speed with time, the use range of the dynamic equivalent modeling method of wind farms, and the difficulty of retaining the dynamic characteristics of wind farms, etc., to achieve The effect of accurate reflection and reasonable grouping

Active Publication Date: 2018-12-21
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +2
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Problems solved by technology

[0005] It is not difficult to find that the application range of the above-mentioned wind farm dynamic equivalent modeling method is relatively single, and it is difficult to be used in the wind farm dynamic equivalent modeling involving long-term wind speed fluctuations. The main reason for the limitation is that the model establishment does not fully consider The change characteristics of wind speed over time, and the clustering method that is easy to fall into local optimum in the wind farm unit group, makes it difficult to retain the complete dynamic characteristics of the wind farm in the dynamic equivalent

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  • Wind farm dynamic equivalent modeling method suitable for long-term wind speed fluctuation
  • Wind farm dynamic equivalent modeling method suitable for long-term wind speed fluctuation
  • Wind farm dynamic equivalent modeling method suitable for long-term wind speed fluctuation

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[0042] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the application. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0043]It should be noted that the terminology used herein is for the purpose of describing specific embodiments only, and is not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural as well, furthermore, it is to be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates that There are features, steps, operations, devices, components and / or combinations thereof.

[0044] As described in the background art, there is a deficiency in the prior art that it is diffi...

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Abstract

The invention discloses a wind farm dynamic equivalent modeling method suitable for long-time domain wind speed fluctuation, which adopts quantum particle swarm optimization to optimize fuzzy C-mean clustering algorithm for clustering, A wind turbine generator set of the same group is equivalent to a wind turbine generator set (called equivalent wind turbine generator set), and the equivalent input wind speed of the equivalent wind turbine set is real-time equivalent, and the parameters of the wind turbine set are identified, and then the wind farm power collection system is equivalent, so that the wind farm dynamic equivalent model suitable for long-time wind speed fluctuation is obtained. The invention comprehensively considers the variation characteristics of wind speed of the wind farm with time, adopts the quantum particle swarm optimization fuzzy C with high clustering accuracy and strong global optimization searching ability, and adopts the quantum particle swarm optimization fuzzy C, Mean value clustering can obtain the wind farm dynamic equivalent model which can accurately reflect the external characteristics of the real wind farm.

Description

technical field [0001] The invention relates to the technical field of wind farm dynamic equivalence, in particular to a wind farm dynamic equivalence modeling method suitable for long-term wind speed fluctuations. Background technique [0002] Wind power generation has the characteristics of being sustainable, green and pollution-free, and has developed rapidly in recent years. With the development of wind power generation technology, the single unit capacity of wind turbines and the scale of wind farms are expanding, and the penetration rate of wind power in the power grid is gradually increasing. Wind power has become an important part of the power grid. Due to the intermittent and random characteristics of wind energy, large-scale wind farms are centrally connected to the grid, which brings security control problems to the entire grid. To analyze the impact of grid-connected operation of large-scale wind farms on the safety and stability of the power system, it is neces...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06K9/62G06N3/00G06Q50/06
CPCG06N3/006G06Q50/06G06F30/20G06F18/23213
Inventor 周前汪成根韩明哲赵浩然吕占鳌侯潇殷明慧卜京
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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