Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Ultra Fast Linear State Estimation Utilizing SCADA Measurements
 
research article

Ultra Fast Linear State Estimation Utilizing SCADA Measurements

Dobakhshari, Ahmad Salehi
•
Azizi, Sadegh
•
Paolone, Mario
Show more
January 21, 2019
IEEE Transactions on Power Systems

This paper presents a closed-form and non-iterative solution for the long-studied SCADA-based State Etimation (SE) problem, where unsynchronized traditional measurements from Remote Terminal Units (RTUs) are used. In this regard, a novel reformulation of the problem is introduced where unknowns are expressed as complex variables in terms of unsynchronized SCADA measurements. To this end, it is assumed that bus voltage amplitudes as well as current amplitudes and active and reactive power flows/injections are available. The resulting system of equations is solved by the classic linear weighted leastsquares method. In contrast to the traditional approaches, several drawbacks such as initialization and issues with convergence (especially for large-scale systems) are resolved. Moreover, the proposed approach does not use synchrophasors. The method is validated on a 3-bus test network and applied to the IEEE 118-bus test system, 1341-bus and 9241-bus European high-voltage transmission networks.

  • Details
  • Metrics
Type
research article
DOI
10.1109/TPWRS.2019.2894518
Author(s)
Dobakhshari, Ahmad Salehi
Azizi, Sadegh
Paolone, Mario
Terzija, Vladimir
Date Issued

2019-01-21

Published in
IEEE Transactions on Power Systems
Volume

34

Issue

4

Start page

2622

End page

2631

Subjects

Complex analysis

•

Linear least-squares estimation

•

Power system operation

•

RTU

•

SCADA

•

State estimation

•

Unsynchronized measurements

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
DESL  
Available on Infoscience
January 23, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/153711
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés