Dynamic State Estimation of Power System Harmonics with Bad Data
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
Affiliations: 1: N.I.T., Hamirpur, H.P., India 2: Department of Electrical Engineering, Indian Institute of Technology, Roorkee, Uttaranchal, India
Publication date: 01 December 2005
- Information for Authors
- Subscribe to this Title
- Ingenta Connect is not responsible for the content or availability of external websites
Receive new issue alert- Access Key
- Free content
- Partial Free content
- New content
- Open access content
- Partial Open access content
- Subscribed content
- Partial Subscribed content
- Free trial content