Wind power output typical scene generation method based on BIRCH clustering and Wasserstein distance

A wind power output and scene technology, applied in wind power generation, probabilistic CAD, stochastic CAD, etc., can solve the problems of affecting calculation efficiency, large amount of calculation, low calculation efficiency, etc.

Inactive Publication Date: 2020-03-27
STATE GRID JIANGSU ELECTRIC POWER CO LTD NANTONG POWER SUPPLY BRANCH
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Wind power generation has problems such as too large sampling scene set, which affects computing efficiency, etc. These problems can be solved by scene reduction
However, most of the existing scene reduction methods need to calculate and compare all possible distance combinations. When the number of scenes is large, there are disadvantages such as large amount of calculation and low calculation efficiency.

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 output typical scene generation method based on BIRCH clustering and Wasserstein distance
  • Wind power output typical scene generation method based on BIRCH clustering and Wasserstein distance
  • Wind power output typical scene generation method based on BIRCH clustering and Wasserstein distance

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] A method for generating typical scenarios of wind power output based on BIRCH clustering and Wasserstein distance, including:

[0064] Using the Wasserstein distance transformation to minimize W s The problem of finding M optimal quantile points in the case of ; assuming that the optimal quantile point is recorded as L m (m=1,2,...,M); the continuous probability density function of the variable x is recorded as h(x), and L can be obtained by the following formula m :

[0065]

[0066] Corresponding quantile L m The discrete probability p m for:

[0067]

[0068] In the formula, L 0 , L M+1 are the lower limit and upper limit of the variable x, usually taken as -∞, +∞ respectively; W s为 Integral over the r-th order distance measure of two probability density functions;

[0069] Usually, the uncertainty of wind speed at a single moment can be described by the Weibull distribution function, which is defined as follows:

[0070]

[0071] In the formula, v ...

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 output typical scene generation method based on BIRCH clustering and a Wasserstein distance, and the method comprises the steps: firstly obtaining an optimal quantile of a wind power probability through the minimization of the Wasserstein distance, and discretizing a continuous probability density function into a plurality of probability density points; performing iterative reduction, splicing and re-reduction on the initial scene set by applying BIRCH clustering to obtain a typical scene set. According to the method, the wind power output scene can be quickly and accurately reduced, and compared with other algorithms, the algorithm has great advantages in calculation time and storage scale.

Description

technical field [0001] The invention relates to a method for generating typical scenarios of wind power output based on BIRCH clustering and Wasserstein distance. Background technique [0002] In recent years, the scale of China's wind power generation has grown rapidly, becoming China's third largest source of electricity. Wind power generation has problems such as too large sampling scene set, which affects computing efficiency, etc. These problems can be solved by scene reduction. However, most of the existing scene reduction methods need to calculate and compare all possible distance combinations, and there are disadvantages such as large amount of calculation and low calculation efficiency when the number of scenes is large. Contents of the invention [0003] The purpose of the present invention is to provide an efficient method for generating typical scenarios of wind power output based on BIRCH clustering and Wasserstein distance. [0004] Technical solution of th...

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
IPC IPC(8): G06F30/20G06F111/08G06K9/62H02J3/38G06Q50/06
CPCG06Q50/06G06F18/231Y02E10/76
Inventor 汤向华李秋实王生强徐晓轶王栋胡新雨江洪成刘辉江辉
Owner STATE GRID JIANGSU ELECTRIC POWER CO LTD NANTONG POWER SUPPLY BRANCH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap