Title page for ETD etd-91497-135743


Type of Document Dissertation
Author Ghassemian, Alireza
Author's Email Address aghassem@vt.edu
URN etd-91497-135743
Title Robust Statistical Methods for Measurement calibration in Large Electric Power Systems
Degree PhD
Department Electrical Engineering
Advisory Committee
Advisor Name Title
Mili, Lamine M. Committee Chair
Beex, A. A. Louis Committee Member
Broadwater, Robert P. Committee Member
Coakley, Clint W. Committee Member
Liu, Y. A. Committee Member
Mili, Lamine M. Committee Member
Keywords
  • Robust statistic
  • Measurement calibration
Date of Defense 1997-10-13
Availability restricted
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.

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