Title page for ETD etd-030899-022103


Type of Document Master's Thesis
Author Chapman, Michael Addison
Author's Email Address michapma@vt.edu
URN etd-030899-022103
Title Adaptation and Installation of a Robust State Estimation Package in the Eef Utility
Degree Master of Science
Department Electrical and Computer Engineering
Advisory Committee
Advisor Name Title
Mili, Lamine M. Committee Chair
Broadwater, Robert P. Committee Member
VanLandingham, Hugh F. Committee Member
Keywords
  • SHGM-estimator
  • Real-time installation
  • EEF Utility
  • Robust state estimation
  • Power systems
Date of Defense 1999-02-08
Availability unrestricted
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.

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