Dynamic State Estimation of Power System Harmonics with Bad Data

$61.20 plus tax (Refund Policy)

Buy Article:

Abstract:

In this article, a robust extended Kalman filter (REKF) technique is proposed for dynamic harmonic state estimation. The proposed state estimator is capable of estimating the harmonic states of the power system in real time even in the presence of bad data in the measurements. From the simulation results obtained from IEEE 14 bus test system under various operating conditions, it has been observed that the estimation performance of the proposed technique is very close to the true simulated values.

Keywords: Kalman filter; dynamic estimation; power system harmonics

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/15325000590963994

Affiliations: 1: N.I.T., Hamirpur, H.P., India 2: Department of Electrical Engineering, Indian Institute of Technology, Roorkee, Uttaranchal, India

Publication date: December 1, 2005

More about this publication?
Related content

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more