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Virginia Tech

Adaptation and Installation of a Robust State Estimation Package in the Eef Utility

Abstract

dc:description.abstract

Robust estimation methods have been successfully applied to the problem of power system state estimation in a real-time environment. The Schweppe-type GM-estimator with the Huber psi-function (SHGM) has been fully installed in conjunction with a topology processor in the EEF utility, headquartered in Fribourg, Switzerland. Some basic concepts of maximum likelihood estimation and robust analysis are reviewed, and applied to the development of the SHGM-estimator. The algorithms used by the topology processor and state estimator are presented, and the superior performance of the SHGM-estimator over the classic weighted least squares estimator is demonstrated on the EEF network. The measurement configuration of the EEF network has been evaluated, and suggestions for its reinforcement have been proposed.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Electrical and Computer Engineering
Department dc:contributor.department
Electrical and Computer Engineering
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
1999

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chapman, Michael Addison
Chair dc:contributor.committeechair
  • Mili, Lamine M.
Committee members dc:contributor.committeemember
  • VanLandingham, Hugh F.
  • Broadwater, Robert P.

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
etd-030899-022103
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/31432

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Chapman, Michael Addison. Adaptation and Installation of a Robust State Estimation Package in the Eef Utility. masters thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/31432