Scholarship at UWindsor

Title

Power system state estimation using contraction mapping and singular value decomposition

Authors

Arina Aboonabi, Simon Fraser University
Mehrdad Saif, Simon Fraser University

Document Type

Conference Proceeding

Publication Date

1-1-2011

Publication Title

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volume

44

Issue

1 PART 1

First Page

1692

Keywords

Contraction mapping, Nonlinear systems, Power systems, Singular Value Decomposition, State estimation

Last Page

1697

Abstract

This paper presents a new method for static state-estimation of power system parameters. In the proposed technique, contraction mapping principle is combined with singular value decomposition technique to select the appropriate measurements for state estimation in larger power systems and in the presence of bad data. The proposed technique is applied to the IEEE 118 buses power system benchmark and the results are evaluated and discussed. © 2011 IFAC.

DOI

10.3182/20110828-6-IT-1002.03269

ISSN

14746670

ISBN

9783902661937

Recommended Citation

Aboonabi, Arina and Saif, Mehrdad. (2011). Power system state estimation using contraction mapping and singular value decomposition. IFAC Proceedings Volumes (IFAC-PapersOnline), 44 (1 PART 1), 1692-1697.
https://scholar.uwindsor.ca/electricalengpub/344