Harmonic source identification in power distribution system and meter placement using network impedance approach
The growing use of non-linear loads in the electrical systems has made harmonics a serious problem. Harmonic disturbance leads to degradation of power quality by deforming the current or voltage waveforms, thus, necessitating the effective techniques for harmonics detection. The purpose of this stu...
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my.utm.873312020-11-08T03:55:16Z http://eprints.utm.my/id/eprint/87331/ Harmonic source identification in power distribution system and meter placement using network impedance approach Zaidi, Maryam Nabihah Mat Said, Dalila Abdul Kadir, Aida Fazliana Ahmad, Nasarudin TK Electrical engineering. Electronics Nuclear engineering The growing use of non-linear loads in the electrical systems has made harmonics a serious problem. Harmonic disturbance leads to degradation of power quality by deforming the current or voltage waveforms, thus, necessitating the effective techniques for harmonics detection. The purpose of this study is to propose a method for a single harmonic source identification in power distribution system by implementing a network impedance technique, and optimize the meters allocation by optimum meter placement algorithm (OMPA). The main advantage of this technique is that it results in enhanced accuracy with minimum vulnerability towards deviations in the measurements. Moreover, it minimizes the number of nodes for meter allocations, thereby resulting in economic advantages. To validate the results and effectiveness of the proposed methodology, a standard IEEE 13-Bus industrial network is designed using ETAP software and the algorithm is developed in MATLAB software. The validation of proposed algorithm OMPA is done by comparing its results with Monte Carlo Algorithm (MCA) technique. The results show that without any deviation in the network impedances, OMPA gives 89% accuracy as compared to 75% accuracy of MC. With the deviations in the harmonic impedances, the accuracy of both algorithms is decreased. For the deviation value ꝺ = 1-13 in the harmonic impedances, the overall accuracy of OMPA stays at 75%, while that of MCA drops down to 56%. The developed algorithm OMPA is not only better in performance in harmonics identification with minimum number of meters, but also shows more resistance to the variations in the harmonic impedances as compared to MCA. Penerbit UTM 2020-08 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/87331/1/MaryamNabihahZaidi2020_HarmonicSourceIdentificationinPowerDistribution.pdf Zaidi, Maryam Nabihah and Mat Said, Dalila and Abdul Kadir, Aida Fazliana and Ahmad, Nasarudin (2020) Harmonic source identification in power distribution system and meter placement using network impedance approach. ELEKTRIKA- Journal of Electrical Engineering, 19 (2). pp. 40-45. ISSN 0128-4428 http://dx.doi.org/10.11113/elektrika.v19n2.228 DOI:10.11113/elektrika.v19n2.228 |
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TK Electrical engineering. Electronics Nuclear engineering Zaidi, Maryam Nabihah Mat Said, Dalila Abdul Kadir, Aida Fazliana Ahmad, Nasarudin Harmonic source identification in power distribution system and meter placement using network impedance approach |
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The growing use of non-linear loads in the electrical systems has made harmonics a serious problem. Harmonic disturbance leads to degradation of power quality by deforming the current or voltage waveforms, thus, necessitating the effective techniques for harmonics detection. The purpose of this study is to propose a method for a single harmonic source identification in power distribution system by implementing a network impedance technique, and optimize the meters allocation by optimum meter placement algorithm (OMPA). The main advantage of this technique is that it results in enhanced accuracy with minimum vulnerability towards deviations in the measurements. Moreover, it minimizes the number of nodes for meter allocations, thereby resulting in economic advantages. To validate the results and effectiveness of the proposed methodology, a standard IEEE 13-Bus industrial network is designed using ETAP software and the algorithm is developed in MATLAB software. The validation of proposed algorithm OMPA is done by comparing its results with Monte Carlo Algorithm (MCA) technique. The results show that without any deviation in the network impedances, OMPA gives 89% accuracy as compared to 75% accuracy of MC. With the deviations in the harmonic impedances, the accuracy of both algorithms is decreased. For the deviation value ꝺ = 1-13 in the harmonic impedances, the overall accuracy of OMPA stays at 75%, while that of MCA drops down to 56%. The developed algorithm OMPA is not only better in performance in harmonics identification with minimum number of meters, but also shows more resistance to the variations in the harmonic impedances as compared to MCA. |
format |
Article |
author |
Zaidi, Maryam Nabihah Mat Said, Dalila Abdul Kadir, Aida Fazliana Ahmad, Nasarudin |
author_facet |
Zaidi, Maryam Nabihah Mat Said, Dalila Abdul Kadir, Aida Fazliana Ahmad, Nasarudin |
author_sort |
Zaidi, Maryam Nabihah |
title |
Harmonic source identification in power distribution system and meter placement using network impedance approach |
title_short |
Harmonic source identification in power distribution system and meter placement using network impedance approach |
title_full |
Harmonic source identification in power distribution system and meter placement using network impedance approach |
title_fullStr |
Harmonic source identification in power distribution system and meter placement using network impedance approach |
title_full_unstemmed |
Harmonic source identification in power distribution system and meter placement using network impedance approach |
title_sort |
harmonic source identification in power distribution system and meter placement using network impedance approach |
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Penerbit UTM |
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2020 |
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http://eprints.utm.my/id/eprint/87331/1/MaryamNabihahZaidi2020_HarmonicSourceIdentificationinPowerDistribution.pdf http://eprints.utm.my/id/eprint/87331/ http://dx.doi.org/10.11113/elektrika.v19n2.228 |
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