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Power System Harmonics Estimation using Sliding Window Based LMS

Mohd Nor, Nursyarizal and Asirvadam , Vijanth Sagayan and Abdullah, M. F. (2013) Power System Harmonics Estimation using Sliding Window Based LMS. In: 2013 IEEE International Conference on Signal and Image Processing Applications (ICSIPA).

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Abstract

The widespread use of power electronics devises and nonlinear loads in power system grids is increasing in the last decades leads to rise of harmonic in power system signals. Great damage to power system gird can happen due to harmonics. Thus it is important to precisely estimate the harmonics components that may help to avoid its harmful effect of the electrical grid performance. The more common algorithm that has been used to estimate the harmonic component is the Fast Fourier Transform (FFT), however FFT has few limitations,furthermore, modern power system network getting complex and noisy. Therefore, fast and accurate harmonic estimation in the presence of noise is needed. Sliding window based least mean square (LMS) algorithm is introduced in this paper to estimate the harmonic components in noisy environment. The result shows that the sliding window method able to give a good estimation to the harmonic component even when the signal to noise ratio (SNR) is 0 dB.

Item Type:Conference or Workshop Item (Paper)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Academic Subject One:Academic Department - Electrical And Electronics - Power Systems - Transmission - Systems Design
Departments / MOR / COE:Departments > Electrical & Electronic Engineering
Mission Oriented Research > Energy
ID Code:11167
Deposited By: Dr Nursyarizal Mohd Nor
Deposited On:16 Feb 2014 23:41
Last Modified:16 Feb 2014 23:41

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