ADAPTIVE ESTIMATION OF FREQUENCY IN POWER NETWORKS Conference Paper

abstract

• 1992 IEEE. A common problem in power networks is the estimation of the fundamental frequency of harmonic signals. A group of methods that have attracted significant attention in the literature are based on autoregressive modeling [1]. When they are used, the frequency is found via the estimated autoregressive parameters of the model. In the paper we propose and examine two related methods that use the autoregression as an underlying model, avoid the estimation of its parameters, and determine the fundamental frequency directly. Simulation results are provided that demonstrate the performance of the methods.

name of conference

• [Proceedings] 1992 IEEE International Symposium on Circuits and Systems

authors

• Begovic, Miroslav

published proceedings

• 1992 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-6

author list (cited authors)

• DJURIC, P. M., & BEGOVIC, M. M.

citation count

• 1

complete list of authors

• DJURIC, PM||BEGOVIC, MM

publication date

• January 1992

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE International Symposium on Circuits and Systems  Journal

keywords

• Adaptive Estimation
• Autoregression
• Constant Coefficients
• Difference Equations
• Frequency Estimation
• Frequency Measurement
• Fundamental Frequency
• Harmonic Signals
• Intelligent Networks
• Linear Difference Equation
• Parameter Estimation
• Power Harmonic Filters
• Power Networks
• Power System Harmonics
• Power System Protection
• Power System Simulation
• Signal To Noise Ratio
• Signal-to-noise Ratio Environments

Digital Object Identifier (DOI)

• 10.1109/iscas.1992.230631

International Standard Book Number (ISBN) 10

• 0-7803-0593-0

start page

• 2741

end page

• 2744

volume

• 6

URL

• http://dx.doi.org/10.1109/iscas.1992.230631