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The Control Chart Technique for the Detection of the Problem of Bad Data in State Estimation Power System

Zahid Khan, Radzuan B. Razali1, Hanita Daud, Nursyarizal Mohd Nor and Mahmud Fotuhi-Firuzabad

Pertanika Journal of Science & Technology, Volume 25, Issue 3, July 2017

Keywords: Nonlinear estimation, weighted least squares method, bad data, Chi-square test, normalised residual test, Gauss-Newton algorithm

Published on: 20 Jun 2017

State estimation plays a vital role in the security analysis of a power system. The weighted least squares method is one of the conventional techniques used to estimate the unknown state vector of the power system. The existence of bad data can distort the reliability of the estimated state vector. A new algorithm based on the technique of quality control charts is developed in this paper for detection of bad data. The IEEE 6-bus power system data are utilised for the implementation of the proposed algorithm. The output of the study shows that this method is practically applicable for the separation of bad data in the problem of power system state estimation.

ISSN 0128-7680

e-ISSN 2231-8526

Article ID

JST-S0189-2016

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