A Digital Technique for Online Identification and Tracking of Power System Harmonics Based on Real Coded Genetic Algorithm
A Digital Technique for Online Identification and Tracking of Power System Harmonics Based on Real Coded Genetic Algorithm
Current and voltage waveforms of a distribution or a transmission system are not pure sinusoids. There are distortions in these waveforms that consist of a combination of the fundamental frequency, harmonics and high frequency transients. This paper presents an enhanced measurement scheme for identification and tracking of harmonics in power system. The proposed technique is not limited to stationary waveforms, but can also estimate harmonics in waveforms with time-varying amplitudes. This paper presents a new method based on Real Coded Genetic Algorithm, which is a technique for optimization inspired by genetics and natural evolution. The algorithm was tested using simulated data, and effects of sampling rate studied. Results are reported and discussed.
144-148
Zamanan, N.
488644a9-a2ca-41b7-a22d-9e7ea214748f
Sykulski, J.K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Al-Othman, A.K.
379d9a42-bbfd-4b35-ab59-bafda6441f35
2006
Zamanan, N.
488644a9-a2ca-41b7-a22d-9e7ea214748f
Sykulski, J.K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Al-Othman, A.K.
379d9a42-bbfd-4b35-ab59-bafda6441f35
Zamanan, N., Sykulski, J.K. and Al-Othman, A.K.
(2006)
A Digital Technique for Online Identification and Tracking of Power System Harmonics Based on Real Coded Genetic Algorithm.
Sixth IASTED International Conference EURPEAN POWER AND ENERGY SYSTEMS, Rhodes, Greece.
26 - 28 Jun 2006.
.
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Abstract
Current and voltage waveforms of a distribution or a transmission system are not pure sinusoids. There are distortions in these waveforms that consist of a combination of the fundamental frequency, harmonics and high frequency transients. This paper presents an enhanced measurement scheme for identification and tracking of harmonics in power system. The proposed technique is not limited to stationary waveforms, but can also estimate harmonics in waveforms with time-varying amplitudes. This paper presents a new method based on Real Coded Genetic Algorithm, which is a technique for optimization inspired by genetics and natural evolution. The algorithm was tested using simulated data, and effects of sampling rate studied. Results are reported and discussed.
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Published date: 2006
Additional Information:
Event Dates: 26-28 June 2006
Venue - Dates:
Sixth IASTED International Conference EURPEAN POWER AND ENERGY SYSTEMS, Rhodes, Greece, 2006-06-26 - 2006-06-28
Organisations:
EEE
Identifiers
Local EPrints ID: 262779
URI: http://eprints.soton.ac.uk/id/eprint/262779
PURE UUID: 71ec600e-cf3d-4eb1-9bf0-365e7d7d1401
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Date deposited: 04 Jul 2006
Last modified: 15 Mar 2024 02:34
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Contributors
Author:
N. Zamanan
Author:
J.K. Sykulski
Author:
A.K. Al-Othman
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