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1887

access icon free Real-time harmonics estimation in power systems using a novel hybrid algorithm

© The Institution of Engineering and Technology
Received 14/01/2017, Accepted 11/06/2017, Revised 07/06/2017, Published 12/06/2017

This study presents a new hybrid algorithm to estimate the harmonic parameters of a distorted signal in power systems. The parameters to be estimated are amplitudes and phases of harmonic components according to the voltage/currents samples. The proposed algorithm is based on combination of the recursive least squares (RLS) and iterated extended Kalman filter (IEKF) techniques. The RLS–IEKF algorithm decomposes the problem into linear amplitude estimation and non-linear phase estimation leading to extracting the intended state vector in online mode and intensive noise presence. As well, RLS–IEKF estimates dynamic parameters using tuning factor which controls the impact of measurement on estimation process. Simulation results obtained by MATLAB show the accuracy and speed of convergence in comparison with that of conventional discrete Fourier transform and ensemble Kalman filter. For further validation, the proposed algorithm is implemented by C++ code and is applied to real switching current data. The real-time implementation of RLS–IEKF in a simple laboratory setup using PC/104 computer set and dedicated hardware shows its satisfactory performance for practical power quality and protection cases.

Inspec keywords: nonlinear filters; power system parameter estimation; convergence; discrete Fourier transforms; least squares approximations; Kalman filters; phase estimation; power system harmonics; power supply quality; amplitude estimation

Other keywords: dynamic parameter estimation; discrete Fourier transform; ensemble Kalman filter; tuning factor; convergence; nonlinear phase estimation; linear amplitude estimation; practical power quality; distorted signal; iterated extended Kalman filter; novel hybrid algorithm; RLS–IEKF algorithm; real-time harmonics estimation; intensive noise presence; MATLAB; C++ code; power systems; recursive least squares; PC/104 computer set; harmonic parameters; intended state vector; harmonic components

Subjects: Other topics in statistics; Power supply quality and harmonics; Integral transforms in numerical analysis; Interpolation and function approximation (numerical analysis)

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