Power system frequency estimation based on simulated annealing. Part I: A constant frequency study

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contributor.author Mantawy, A.H. en_US
contributor.author Soliman, S.A. en_US
contributor.author El-Hawary, M.E. en_US
date.accessioned 2009-12-28T15:07:15Z en_US
date.available 2009-12-28T15:07:15Z en_US
date.issued 2003-04 en_US
identifier.citation A. H. Mantawy* S. A. Soliman and M. E. El-Hawary, Power System Frequency Estimation Based on Simulated Annealing. Part I: A Constant Frequency Study en_US
identifier.issn 1319-8025 en_US
identifier.uri http://hdl.handle.net/10576/10535 en_US
description.abstract In this paper a new algorithm based on Simulated Annealing (SA) method is used to estimate the signal parameters of a system steady power system, having a constant frequency during data window size. The proposed algorithm does not need any filter or model for the system frequency before and during the estimation process. The nonlinear optimization problem, which is the minimization of the sum of the squares of the errors, as a function of the signal amplitude, frequency and phase angle, is solved using the Simulated Annealing Algorithm (SAA). The problem is a nonlinear optimization problem in continuous variables. An adaptive cooling schedule and a new method for variable discretization are implemented to enhance the speed and convergence of the original SAA. The algorithm uses the samples of the voltage or current signal of one phase at the relay location. The proposed algorithm is tested using simulated and actual recorded data for noise free and harmonics contaminated signals. Effects of the critical parameters, such as sampling frequency and number of samples, on the estimated parameters are tested. It has been shown that the SAA is succeeded to estimate accurately the system frequency from a highly contaminated voltage signal. en_US
language.iso en en_US
publisher King Fahd University of Petroleum and Minerals en_US
subject Optimization en_US
subject Power frequency estimation en_US
subject Simulated annealing en_US
title Power system frequency estimation based on simulated annealing. Part I: A constant frequency study en_US
type Article en_US

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