Back to results

Virginia Tech

Robust Statistical Methods for Measurement Calibration in Large Electric Power Systems

Abstract

dc:description.abstract

The Objective of the Remote Measurements Calibration (RMC) method is to minimize systematic errors through an appropriate scaling procedure. A new method for RMC has been developed. This method solves the problems of observability, multiplicity of solutions, and ambiguity of reference points associated with the method proposed by Adibi et. al. [6-9]. The new algorithm uses the simulated annealing technique together with the matroid method to identify and minimize the number of RTUs (Remote Terminal Units) required to observe the system. After field calibration, these RTUs provide measurements that are used to estimate the whole state of the system. These estimates are then returned as a reference for remotely calibrating the remaining RTUs. The calibration coefficients are estimated by means of highly robust estimator, namely the Least Median of Squares (LMS) estimator. The calibration method is applicable to large systems by means of network tearing and dynamic programming. The number of field calibrations can be decreased further whenever multiple voltage measurements at the same buses are available. The procedure requires that the measurement biases are estimated from recorded metered values when buses, or lines, or transformers are disconnected. It also requires the application of a robust comparative voltage calibration method. To this end, a modified Friedman test has been developed and its robustness characteristics investigated.

Degree

thesis:*
Name thesis:degree_name
Ph. D.
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Electrical Engineering
Department dc:contributor.department
Electrical Engineering
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
1997

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ghassemian, Alireza
Chair dc:contributor.committeechair
  • Mili, Lamine M.
Committee members dc:contributor.committeemember
  • Broadwater, Robert P.
  • Beex, A. A. Louis
  • Liu, Y. A.
  • Coakley, Clint W.
  • Mili, Lamine M.

Subjects

dc:subject × 2

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
etd-91497-135743
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/40527

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

Ghassemian, Alireza. Robust Statistical Methods for Measurement Calibration in Large Electric Power Systems. doctoral thesis, Virginia Tech, 1997. http://hdl.handle.net/10919/40527