Unlock instant, AI-driven research and patent intelligence for your innovation.

Wind power plant group model construction method

A technology for wind farm groups and construction methods, which is applied to electrical components, circuit devices, AC network circuits, etc., can solve problems such as unclear physical meanings of clustering results, and achieve the effect of increasing model credibility and improving accuracy

Pending Publication Date: 2022-02-11
STATE GRID XINJIANG ELECTRIC POWER CO URUMQI ELECTRIC POWER SUPPLY CO +1
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0022] The present invention clusters the original wind power time series through the two-stage hierarchical clustering algorithm of the curve shape characteristics and curve numerical characteristics of wind power, and solves the problem of unclear physical meaning of the clustering results in the prior art. Establish multi-typical scene models of wind farm groups based on similar results, effectively improving accuracy and increasing model credibility

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Wind power plant group model construction method
  • Wind power plant group model construction method
  • Wind power plant group model construction method

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0141] As shown, the specific embodiment of the present invention is shown, as shown, the model construct of the present invention is divided into four steps:

[0142] First, the original wind power time sequence is clustered by using two-stage layered clustering algorithm considering curve morphological characteristics and numerical characteristics of the wind power. Second, the cluster cluster is reduced by scene reduction techniques to obtain a typical scene and establish a probability distribution function that matches it. Then, the sample set that meets the probability distribution of multi-typical scenes is extracted by inverting sampling techniques. Finally, the mathematical equation for obtaining a hidden power curve of wind farm population is fitted.

[0143] Specifically, the present invention proposed a multi-type scene model construct of a wind farm group based on a clustering algorithm:

[0144] First, the original wind power time sequence is clustered using two-stage...

Embodiment 1

[0249] Example 1 (Based on the Nordic Power Trading Center):

[0250] In the NORD POOL in NORD POOL in NORD POOL, a wind farm population is based on the basis of example analysis. The wind farm group has a total of 9 wind farms, and the total installed capacity is 405.5mW. After the screening, the data set contains 108 wind power time sequences, and the wind power sampling period is 1 h, and 24 sample points total each day.

[0251] Normalization of wind power time sequence data set after pre-treatment, such as Figure 4 Indicated. The figure contains a variety of wind power curves with significant similarities. Multi-manifestation is a case in which a large amount of zero power is expensive, there is a large amount of zero power disputes; the high-power cost area is relatively low, and the full power is almost no; wind power is relatively large, and there are many specifications of daylight. Power characteristics.

[0252] Based on the technical solution of the present invention, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a wind power plant group model construction method. The method is used for constructing a wind power plant group multi-typical scene model based on a clustering algorithm, analyzing the power distribution trend of a wind power plant group and perfecting the technical basis of large-scale wind power plant group scheduling. The wind power plant group model construction method comprises the following steps: S100, clustering an original wind power time sequence by utilizing a two-stage hierarchical clustering algorithm considering curve morphological characteristics and numerical characteristics of wind power to obtain wind power clustering sub-clusters; S200, reducing the clustering sub-clusters through a scene reduction technology to obtain a typical scene, and establishing a probability distribution function matched with the typical scene; S300, extracting a sample set conforming to probability distribution of multiple typical scenes through an inverse transformation sampling technology; and S400, finally, fitting to obtain a mathematical model of the continuous power curve of the wind power plant group.

Description

Technical field [0001] The present invention relates to a method of constructing a wind farm group model, specifically for wind farm group model construction, predicting the power distribution trend of wind farm group. Background technique [0002] With the depth development of my country's wind resources, there is currently a large number of distributed wind farm groups in the inland mountains that are not rich in wind resources. Because most of these wind farm groups are located in the mountainous area, far from the energy load center, exacerbated the imbalance of load and power supply in the region, reducing the gas-resistant consumption level. In order to solve the problem of wind power in the mountainous wind power, my country is currently building ultra-high pressure projects, and the wind power power of wind farm group is uniformly bundled. The large-scale wind power is sent, and it has also brought difficulties to the scheduling operation of the local grid, and the overal...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/62H02J3/00G06F113/06
CPCG06F30/27H02J3/00G06F2113/06H02J2203/20H02J2300/28G06F18/23
Inventor 朱疆生袁少伟李宇翔李大立居来提·阿不力孜何峰缪刚彭建陈疆张怀德胡健民刁智伟朱正印张伟健
Owner STATE GRID XINJIANG ELECTRIC POWER CO URUMQI ELECTRIC POWER SUPPLY CO