Adaptation and Installation of a Robust State Estimation Package in the Eef Utility
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...
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ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-314322020-09-29T05:40:17Z Adaptation and Installation of a Robust State Estimation Package in the Eef Utility Chapman, Michael Addison Electrical and Computer Engineering Mili, Lamine M. VanLandingham, Hugh F. Broadwater, Robert P. SHGM-estimator Real-time installation EEF Utility Robust state estimation Power systems 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. Master of Science 2014-03-14T20:32:26Z 2014-03-14T20:32:26Z 1999-02-08 1999-03-08 1999-04-20 1999-04-20 Thesis etd-030899-022103 http://hdl.handle.net/10919/31432 http://scholar.lib.vt.edu/theses/available/etd-030899-022103/ Etd.pdf In Copyright http://rightsstatements.org/vocab/InC/1.0/ application/pdf Virginia Tech |
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SHGM-estimator Real-time installation EEF Utility Robust state estimation Power systems |
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SHGM-estimator Real-time installation EEF Utility Robust state estimation Power systems Chapman, Michael Addison Adaptation and Installation of a Robust State Estimation Package in the Eef Utility |
description |
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. === Master of Science |
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Electrical and Computer Engineering |
author_facet |
Electrical and Computer Engineering Chapman, Michael Addison |
author |
Chapman, Michael Addison |
author_sort |
Chapman, Michael Addison |
title |
Adaptation and Installation of a Robust State Estimation Package in the Eef Utility |
title_short |
Adaptation and Installation of a Robust State Estimation Package in the Eef Utility |
title_full |
Adaptation and Installation of a Robust State Estimation Package in the Eef Utility |
title_fullStr |
Adaptation and Installation of a Robust State Estimation Package in the Eef Utility |
title_full_unstemmed |
Adaptation and Installation of a Robust State Estimation Package in the Eef Utility |
title_sort |
adaptation and installation of a robust state estimation package in the eef utility |
publisher |
Virginia Tech |
publishDate |
2014 |
url |
http://hdl.handle.net/10919/31432 http://scholar.lib.vt.edu/theses/available/etd-030899-022103/ |
work_keys_str_mv |
AT chapmanmichaeladdison adaptationandinstallationofarobuststateestimationpackageintheeefutility |
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