Power system transient stability prediction method based on disturbance voltage trajectory cluster features

A transient stability and power system technology, applied to load forecasting, electrical components, circuit devices, etc. in AC networks, can solve problems such as high dimensionality, inability to obtain, and K-L transformation that cannot be widely used

Inactive Publication Date: 2015-04-29
BEIJING JIAOTONG UNIV
View PDF9 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Finding eigenvalues ​​and eigenvectors will be more complicated, and even impossible to find when the dimension is high, and it is difficult to meet the requirements of real-time processing
These factors cause the K-L transformation not to be widely used in engineering practice

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
  • Power system transient stability prediction method based on disturbance voltage trajectory cluster features
  • Power system transient stability prediction method based on disturbance voltage trajectory cluster features
  • Power system transient stability prediction method based on disturbance voltage trajectory cluster features

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The invention discloses a method for quickly predicting the transient stability of a power system based on the characteristics of the WAMS disturbed voltage track cluster after a fault. The method includes the following steps:

[0056] S1. Based on the WAMS system, the historical data information collected by the power system is preliminarily screened, and the time-domain trajectory clusters of the voltage amplitudes of all key generator nodes after the fault are obtained, and the original data set is formed. In a certain fault situation, the fault All n generator node voltage trajectory clusters of m cycles after clearing are denoted as trajectory cluster matrix: {x ij} m×n ;

[0057] S2. The calculation of 27 geometric features in the trajectory cluster is performed on the original data, and the 27 feature vectors include

[0058] Feature 1: Instantaneous Trajectory Centroid, c i is a column vector of m rows;

[0059] Feature 2: Dispersion of trajectory cluster...

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 power system transient stability prediction method based on disturbance voltage trajectory cluster features. According to the method, historical information collected by a WAMS in a power system is primarily screened, time domain trajectory clusters of all key power generator node voltage amplitudes after the failure are obtained to form an original data set; 27 geometrical characteristics of the trajectory clusters are calculated according to original data; a Relief algorithm is utilized for carrying weight calculation on all characteristic quantities, a plurality of wide-range fault features strongly correlated to the system transient stability are selected and used as an input data set of a transient stability prediction algorithm; on the basis of the input data set, an SVM prediction model is built. An analysis model of the power system is not built, and according to response information, obtained through the WAMS, of the power system, the transient stability of the power system is directly predicated. The system stability can be rapidly predicted, and high adaptability and robustness are achieved.

Description

technical field [0001] The invention relates to power system stability discrimination, in particular to a power system transient stability prediction method based on characteristics of WAMS disturbed voltage track clusters after a fault. Background technique [0002] With the continuous expansion of the grid scale, the implementation of various transmission methods such as AC and DC hybrids, and the application of new energy technologies, the dynamic characteristics of the power system have become more complex, and accidents have occurred more frequently. Stability analysis and control is also more difficult. How to identify the transient stability of the system more quickly and reliably after a fault occurs is the key to the online security assessment of the power grid. The application of WAMS (Wide Area Monitoring System) system in power system creates conditions for transient stability analysis and control. [0003] Power system transient stability prediction based on W...

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): H02J3/00
CPCH02J3/00H02J3/003H02J2203/20
Inventor 吴俊勇冀鲁豫郝亮亮周艳真于之虹严剑峰华科
Owner BEIJING JIAOTONG UNIV
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