Bilinear WLAV robust state estimation method considering matrix scale scaling

A robust state estimation and bilinear technology, applied in computing, data processing applications, instruments, etc., can solve the problems of state estimation results deviating from the real value, large condition number of information matrix, and inability to detect leverage point measurement, etc., to achieve Achieve anti-difference effect, improve numerical stability, and improve precision

Pending Publication Date: 2019-09-13
NR ELECTRIC CO LTD +1
View PDF10 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Purpose of the invention: Bilinear WLAV robustness estimation cannot detect and distinguish lever point measurement when there are long and short branches in the power grid, and the condition number of the information matrix is ​​quite large, causing the state estimation result to seriously deviate from the true value. A Bilinear WLAV Robust State Estimation Method Considering Matrix Scaling and Scaling Can Solve the Defects of Existing Techniques

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
  • Bilinear WLAV robust state estimation method considering matrix scale scaling
  • Bilinear WLAV robust state estimation method considering matrix scale scaling
  • Bilinear WLAV robust state estimation method considering matrix scale scaling

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] Below in conjunction with accompanying drawing, the technical process of invention is described in detail:

[0030] Such as figure 1 Shown, the present invention specifically comprises the following steps:

[0031] 1. Obtain network parameter and quantity measurements of the power system. Network parameters include: busbar number, name, compensation capacitance, branch number of transmission line, head-end node and end-node number, series resistance, series reactance, parallel conductance, parallel susceptance, transformer ratio and impedance; measurement z includes : Node voltage amplitude, active power and reactive power at the head end of the branch, active power and reactive power at the end of the branch.

[0032] 2. Program initialization. Including: setting the iteration precision, the maximum number of iterations, the slack variable of the primal dual interior point method, the Lagrangian multiplier and the initial value of the penalty factor, and using the n...

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 bilinear WLAV robust state estimation method considering matrix scale scaling. According to the bilinear WLAV robust estimation, an intermediate variable is introduced, a nonlinear measurement equation of a power system is converted into a two-step linearization process, the model is simplified, and the estimation time is shortened. However, when a long branch and a shortbranch occur in a power grid, leverage measurement and information matrix conditions are caused, and the numerical stability and bad data detection and identification of bilinear WLAV robust estimation are influenced. According to the method, the Jacobian matrix is scaled and stretched, so that lever point measurement caused by long and short branches can be effectively eliminated, the number ofconditions of the information matrix is reduced, the numerical stability is improved, and the engineering application value is achieved.

Description

technical field [0001] The invention relates to a bilinear WLAV tolerance state estimation method considering matrix scale scaling, and belongs to the technical field of power system operation and control. Background technique [0002] Weighted Least Absolute Values ​​(WLAV) estimation is the optimal estimation under the Laplace distribution of error data. Traditional WLAV robust estimation based on Primal-Dual IPM (PDIPM) has 2 One disadvantage: first, the model is complex, the dimension of the iterative coefficient matrix is ​​large, and the Hessian matrix needs to be calculated, and the calculation time is much longer than the weighted least squares method (Weighted Least Squares, WLS); the second is for leverage point bad data and multi-correlation consistent bad data The anti-poor effect is poor. In order to improve the calculation speed of WLAV robust estimation, generally by taking into account the high-order items and using the high-order interior point method to mo...

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): G06F17/50G06Q50/06H02J3/00
CPCG06Q50/06H02J3/00G06F30/20H02J2203/20
Inventor 钱锋王永胡剑锋何桦孙国强臧海祥
Owner NR ELECTRIC CO LTD
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