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Wind power output characteristic analysis method based on WAMS data

A technology for wind power output and characteristics analysis, applied in the field of analysis, can solve problems such as lack of wind power, difficulty in grasping the operation rules and characteristics of large-scale wind power, and large impact

Inactive Publication Date: 2015-04-29
STATE GRID CORP OF CHINA +2
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Problems solved by technology

However, due to the inherent characteristics of randomness, volatility, and intermittency of wind power generation, the connection of wind power will inevitably have a certain impact on the operation of the grid, especially under the condition of large-scale wind power connection.
At present, most of the research on wind power output characteristics is qualitative analysis, lacking the establishment of a systematic wind power output characteristic index system, which makes it difficult to deeply grasp the operation rules and characteristics of large-scale wind power

Method used

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  • Wind power output characteristic analysis method based on WAMS data
  • Wind power output characteristic analysis method based on WAMS data
  • Wind power output characteristic analysis method based on WAMS data

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Embodiment Construction

[0065] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0066] The invention provides technical basis and reference for operating personnel to comprehensively control the output characteristics of wind farms and clusters thereof by analyzing the characteristics of wind power output. By analyzing the random fluctuation of wind power output, peak-valley characteristics and peak-shaving characteristics, it mainly includes wind power output extreme value characteristics, maximum peak-valley difference of wind power power, short-term fluctuation of wind power power, wind power peak-shaving contribution and reverse peak-shaving, index deviation correlation , wind power load rate probability distribution, wind power penetration rate and wind power utilization hours and other characteristics. Through the analysis of the characteristics of wind power output, it is possible to quantitatively describe the characteristics of ...

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Abstract

The invention provides a wind power output characteristic analysis method based on WAMS data. The method includes the following steps that wind power output characteristics are determined; the wind power output characteristics are analyzed; a wind power plant group is defined and subjected to statistics analysis. Through the wind power output characteristic analysis method based on the WAMS data, the wind power output characteristics are quantified, and therefore technical references can be provided for analyzing influences of access of a large-scale wind power plant on a power grid. Meanwhile, lots of wind power operation monitoring data are accumulated and analyzed, schedule operation staff can be assisted in mastering a wind power operation law, and analysis bases are provided for absorbing wind power more scientifically and reasonably and guaranteeing safe and stable operation of the power grid.

Description

technical field [0001] The invention relates to an analysis method, in particular to a wind power output characteristic analysis method based on WAMS data. Background technique [0002] With the continuous growth of wind power and other new energy installed capacity, it has gradually become an important supplementary part of my country's energy strategy. However, due to the inherent characteristics of wind power generation such as randomness, volatility, and intermittency, the connection of wind power will inevitably have a certain impact on the operation of the grid, especially under the condition of large-scale wind power connection. At present, the research on wind power output characteristics is mostly qualitative analysis, lacking the establishment of a systematic wind power output characteristic index system, which makes it difficult to deeply grasp the operation rules and characteristics of large-scale wind power. [0003] The Wide Area Measurement System (WideAreaMe...

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Application Information

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IPC IPC(8): G06Q50/06
CPCG06Q10/0639G06Q50/06
Inventor 杨超颖黄远超赵俊屹范新桥赵思东闫亚军
Owner STATE GRID CORP OF CHINA
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