Structural risk minimization based weighted least squares power system state estimation method

A weighted least squares, structural risk technology, applied in computing, electrical digital data processing, special data processing applications, etc., to achieve the effect of good engineering application prospects

Inactive Publication Date: 2014-02-19
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +1
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  • Summary
  • Abstract
  • Description
  • Claims
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Problems solved by technology

It is more reasonable in theory to apply the SRM idea to solve the state estimation problem

Method used

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  • Structural risk minimization based weighted least squares power system state estimation method
  • Structural risk minimization based weighted least squares power system state estimation method
  • Structural risk minimization based weighted least squares power system state estimation method

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Embodiment Construction

[0023] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0024] The invention relates to a WLS model (SWLS) based on the SRM criterion, which conforms to the SRM idea in the statistical learning theory, and can obtain an estimation result closer to the true value of the state variable under limited measurement conditions.

[0025] The following first gives the traditional ERM-based WLS model (Empirical Risk Minimization Based Weighted Least Squares, EWLS), that is, the traditional WLS state estimation model; then gives the SWLS model;

[0026] Finally, the solution method of SWLS is dedu...

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Abstract

The invention discloses a structural risk minimization based weighted least squares power system state estimation method. According to the characteristic that the measurement number of power system state estimation is limited, a structural risk minimization based weighted least squares estimation model is provided through a statistical learning theory, so that the norm of a residue can be minimized, and meanwhile the confidence interval of a state variable can be minimized. Besides, a detailed solving process of the method is provided. The method accords with the structural risk minimization thought in the statistical learning theory, can obtain an estimation result more approximate to the true value of the state variable under limited measurement conditions, and has good engineering application prospects.

Description

technical field [0001] The invention belongs to the field of power system scheduling automation, and in particular relates to a structural risk minimization based weighted least squares (Structural Risk Minimization Based Weighted Least Squares, SWLS) power system state estimation method. Background technique [0002] Power system state estimation is the foundation and core component of Energy Management System (EMS). High-performance state estimation (State Estimator, SE) can provide accurate and reliable real-time operation data for EMS, which is the guarantee for the normal operation of various advanced applications of EMS. Now almost every large-scale power grid dispatching center has installed state estimation software, SE has become an essential link to ensure the safe and reliable operation of the power grid. [0003] At present, the most widely used state estimation method at home and abroad is the Weighted Least Squares (WLS) method. The WLS model is simple, easy ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 陈艳波刘锋梅生伟马进崔静思
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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