Rotating Machine Based DG Islanding Detection Analysis Using Wavelet Transform

Lucas Ongondo Mogaka; D. K. Murage; Michael Juma Saulo

doi:doi:10.11648/j.ijepe.20150405.14

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Rotating Machine Based DG Islanding Detection Analysis Using Wavelet Transform

Lucas Ongondo Mogaka, D. K. Murage, Michael Juma Saulo

Published in International Journal of Energy and Power Engineering (Volume 4, Issue 5)

Received: 2 September 2015 Accepted: 16 September 2015 Published: 26 September 2015

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Abstract

The increased use of distributed generation in the power system due to increased load demand has brought about many benefits to the power grids. This is due to the concerns about whether the technology in use currently in power generation and distribution, is sufficient to cover the future increasing demand with the limited supply. In response to this problem of increased load demand, efforts have been made to decentralize this infrastructure through the use of distributed generators. The benefits of using distributed generation include; improved reliability and increased efficiency in power supply, avoidance of transmission and distribution capacity upgrades, improved power quality and reduced line losses, minimize peak load demand, reduce voltage flicker, eliminate the need of having high spinning reserve among others. Despite these advantages, un-intentional islanding remains a big challenge and has to be addressed in integration of Distributed Generation to the power system. Unlike inverter based distributed generators, rotating machine based generators with fast response governors and AVRs are highly capable of sustaining an island. Therefore, anti-islanding protection for these generators is a more challenging problem in comparison with the inverter-based DG. This paper analyses the use of wavelet transform in islanding detection for rotating based distributed generators.

Published in	International Journal of Energy and Power Engineering (Volume 4, Issue 5)
DOI	10.11648/j.ijepe.20150405.14
Page(s)	257-267
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Distributed Generation, Islanding Detection, Rotating Machines

References

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[2]	J. Martin, "Distributed vs Centralised electricity generation: Are we witnessing a change of Paradigm?," may 2009.
[3]	P. mahati, "Review on islanding operation of distribution system with distributed generation," pp. 1-8, 2011.
[4]	T. Pujhari, "Islanding Detection In Distributed Generation," 2009.
[5]	M. Ashour, "MATLAB/SIMULINK implementation and simulation of islanding detection using passive methods," in IEEE GC conference and exhibition, Dola, 2013.
[6]	A. Khamis, "A review of islanding detection techniques for renewable distributed generation systems.," malaysia.
[7]	M. Maher and G. M. A. Saad, "‘Robust hybrid anti-islanding method for inverter- based distributed generation’".
[8]	A. Etxegarai, I. Zamora, P. Eguia and L. Valverde, "A. Etxegarai, I. Zamora, P. Eguia, L. Valverde. Islanding detection of synchronous distributed generators.," in International Conference on Renewable Energies and Power Quality (ICREPQ’12), Santiago de Compostela (Spain), 2012.
[9]	Y. Sheng, Wavelet Transform.”The Transforms and Applications Handbook, second edition ed., A. D., Ed., Poularikas Boca Raton: CRC Press LLC, 2000.
[10]	H. MEHRDAD, S. GHODRATOLLAH and R. MORTEZA, "An intelligent-based islanding detection method using DWT and ANN.".
[11]	O. Mohammed and N. Abed, "Wavelet Transform based islanding characterization method for distributed generation," in Fourth LACCEI international Latin American and Carribean Conference for Engineering and Technology, 2006.
[12]	S. Samanta, k. El-arroudi, G. Joós and k. I., "A fuzzy rule-based approach for islanding detection in distributed generation," IEEE Transaction on Power Delivery, pp. 1427-33, 2010.
[13]	J. Pham, N. Denboer, N. Lidula, G. Member, N. Perera and A. Rajapakse, "Hardware implementation of an islanding detection approach based on current and voltage transients.," Electrical power and energy conference (EPEC), pp. 152-157, 2011.
[14]	V. Mohammadreza, J. S. Mohammad and B. G. Gevork, "Islanding Detection in Multiple DG Microgird by utility side current measurement," in Internationational Transactions on Electrical Energy Systems, 2014.
[15]	A. Etxegarai, I. Zamora, P. Eguia and L. Valverde, "Islanding detection of synchronous distributed generators," in international Conference on Renewable Energies and Power Quality (ICREPQ’12), Santiago de Compostela (Spain), 2012.
[16]	W. F. W. X. a. A. M. Jose C. M. Vieira, "Performance of Frequency Relays for Distributed Generation Protection," ieee transactions on power delivery, vol. 21, no. 3, 2006.
[17]	K. Oyedoja and O. Obiyemi, "Wavelet Transform in the detection of electrical power quality disturbances," international journal of engineering and applied sciences, vol. 3, no. 2, April 2013.
[18]	R. A. Lidula N, "A pattern recognition approach for detecting power islands using transient signals Part I: Design and implementation.," IEEE Transactionon Power Delivery, pp. 3070-7, 2010.
[19]	S. B. Karegar H, "Wavelet transform method for islanding detection of wind turbines.," renewable energy, pp. 38:94-106, 2012.
[20]	H. Haroonabadi, "Islanding Detection in Micro-Grids Using Sum of Voltage and Current Wavelet Coefficients Energy," International Journal of Energy and Power Engineering, vol. 3, no. 5, pp. 228-236, 2014.

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APA Style

Lucas Ongondo Mogaka, D. K. Murage, Michael Juma Saulo. (2015). Rotating Machine Based DG Islanding Detection Analysis Using Wavelet Transform. International Journal of Energy and Power Engineering, 4(5), 257-267. https://doi.org/10.11648/j.ijepe.20150405.14

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ACS Style

Lucas Ongondo Mogaka; D. K. Murage; Michael Juma Saulo. Rotating Machine Based DG Islanding Detection Analysis Using Wavelet Transform. Int. J. Energy Power Eng. 2015, 4(5), 257-267. doi: 10.11648/j.ijepe.20150405.14

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AMA Style

Lucas Ongondo Mogaka, D. K. Murage, Michael Juma Saulo. Rotating Machine Based DG Islanding Detection Analysis Using Wavelet Transform. Int J Energy Power Eng. 2015;4(5):257-267. doi: 10.11648/j.ijepe.20150405.14

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@article{10.11648/j.ijepe.20150405.14,
  author = {Lucas Ongondo Mogaka and D. K. Murage and Michael Juma Saulo},
  title = {Rotating Machine Based DG Islanding Detection Analysis Using Wavelet Transform},
  journal = {International Journal of Energy and Power Engineering},
  volume = {4},
  number = {5},
  pages = {257-267},
  doi = {10.11648/j.ijepe.20150405.14},
  url = {https://doi.org/10.11648/j.ijepe.20150405.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20150405.14},
  abstract = {The increased use of distributed generation in the power system due to increased load demand has brought about many benefits to the power grids. This is due to the concerns about whether the technology in use currently in power generation and distribution, is sufficient to cover the future increasing demand with the limited supply. In response to this problem of increased load demand, efforts have been made to decentralize this infrastructure through the use of distributed generators. The benefits of using distributed generation include; improved reliability and increased efficiency in power supply, avoidance of transmission and distribution capacity upgrades, improved power quality and reduced line losses, minimize peak load demand, reduce voltage flicker, eliminate the need of having high spinning reserve among others. Despite these advantages, un-intentional islanding remains a big challenge and has to be addressed in integration of Distributed Generation to the power system. Unlike inverter based distributed generators, rotating machine based generators with fast response governors and AVRs are highly capable of sustaining an island. Therefore, anti-islanding protection for these generators is a more challenging problem in comparison with the inverter-based DG. This paper analyses the use of wavelet transform in islanding detection for rotating based distributed generators.},
 year = {2015}
}

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TY  - JOUR
T1  - Rotating Machine Based DG Islanding Detection Analysis Using Wavelet Transform
AU  - Lucas Ongondo Mogaka
AU  - D. K. Murage
AU  - Michael Juma Saulo
Y1  - 2015/09/26
PY  - 2015
N1  - https://doi.org/10.11648/j.ijepe.20150405.14
DO  - 10.11648/j.ijepe.20150405.14
T2  - International Journal of Energy and Power Engineering
JF  - International Journal of Energy and Power Engineering
JO  - International Journal of Energy and Power Engineering
SP  - 257
EP  - 267
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.20150405.14
AB  - The increased use of distributed generation in the power system due to increased load demand has brought about many benefits to the power grids. This is due to the concerns about whether the technology in use currently in power generation and distribution, is sufficient to cover the future increasing demand with the limited supply. In response to this problem of increased load demand, efforts have been made to decentralize this infrastructure through the use of distributed generators. The benefits of using distributed generation include; improved reliability and increased efficiency in power supply, avoidance of transmission and distribution capacity upgrades, improved power quality and reduced line losses, minimize peak load demand, reduce voltage flicker, eliminate the need of having high spinning reserve among others. Despite these advantages, un-intentional islanding remains a big challenge and has to be addressed in integration of Distributed Generation to the power system. Unlike inverter based distributed generators, rotating machine based generators with fast response governors and AVRs are highly capable of sustaining an island. Therefore, anti-islanding protection for these generators is a more challenging problem in comparison with the inverter-based DG. This paper analyses the use of wavelet transform in islanding detection for rotating based distributed generators.
VL  - 4
IS  - 5
ER  -

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Author Information

Lucas Ongondo Mogaka

Electrical and Electronics Department, Technical University of Mombasa, Mombasa, Kenya
D. K. Murage

Electrical and Electronics Department, JKUAT, Nairobi, Kenya
Michael Juma Saulo

Electrical and Electronics Department, Technical University of Mombasa, Mombasa, Kenya

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Plain Text BibTeX RIS

APA Style

Lucas Ongondo Mogaka, D. K. Murage, Michael Juma Saulo. (2015). Rotating Machine Based DG Islanding Detection Analysis Using Wavelet Transform. International Journal of Energy and Power Engineering, 4(5), 257-267. https://doi.org/10.11648/j.ijepe.20150405.14

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ACS Style

Lucas Ongondo Mogaka; D. K. Murage; Michael Juma Saulo. Rotating Machine Based DG Islanding Detection Analysis Using Wavelet Transform. Int. J. Energy Power Eng. 2015, 4(5), 257-267. doi: 10.11648/j.ijepe.20150405.14

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AMA Style

Lucas Ongondo Mogaka, D. K. Murage, Michael Juma Saulo. Rotating Machine Based DG Islanding Detection Analysis Using Wavelet Transform. Int J Energy Power Eng. 2015;4(5):257-267. doi: 10.11648/j.ijepe.20150405.14

Copy | Download

@article{10.11648/j.ijepe.20150405.14,
  author = {Lucas Ongondo Mogaka and D. K. Murage and Michael Juma Saulo},
  title = {Rotating Machine Based DG Islanding Detection Analysis Using Wavelet Transform},
  journal = {International Journal of Energy and Power Engineering},
  volume = {4},
  number = {5},
  pages = {257-267},
  doi = {10.11648/j.ijepe.20150405.14},
  url = {https://doi.org/10.11648/j.ijepe.20150405.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20150405.14},
  abstract = {The increased use of distributed generation in the power system due to increased load demand has brought about many benefits to the power grids. This is due to the concerns about whether the technology in use currently in power generation and distribution, is sufficient to cover the future increasing demand with the limited supply. In response to this problem of increased load demand, efforts have been made to decentralize this infrastructure through the use of distributed generators. The benefits of using distributed generation include; improved reliability and increased efficiency in power supply, avoidance of transmission and distribution capacity upgrades, improved power quality and reduced line losses, minimize peak load demand, reduce voltage flicker, eliminate the need of having high spinning reserve among others. Despite these advantages, un-intentional islanding remains a big challenge and has to be addressed in integration of Distributed Generation to the power system. Unlike inverter based distributed generators, rotating machine based generators with fast response governors and AVRs are highly capable of sustaining an island. Therefore, anti-islanding protection for these generators is a more challenging problem in comparison with the inverter-based DG. This paper analyses the use of wavelet transform in islanding detection for rotating based distributed generators.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Rotating Machine Based DG Islanding Detection Analysis Using Wavelet Transform
AU  - Lucas Ongondo Mogaka
AU  - D. K. Murage
AU  - Michael Juma Saulo
Y1  - 2015/09/26
PY  - 2015
N1  - https://doi.org/10.11648/j.ijepe.20150405.14
DO  - 10.11648/j.ijepe.20150405.14
T2  - International Journal of Energy and Power Engineering
JF  - International Journal of Energy and Power Engineering
JO  - International Journal of Energy and Power Engineering
SP  - 257
EP  - 267
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.20150405.14
AB  - The increased use of distributed generation in the power system due to increased load demand has brought about many benefits to the power grids. This is due to the concerns about whether the technology in use currently in power generation and distribution, is sufficient to cover the future increasing demand with the limited supply. In response to this problem of increased load demand, efforts have been made to decentralize this infrastructure through the use of distributed generators. The benefits of using distributed generation include; improved reliability and increased efficiency in power supply, avoidance of transmission and distribution capacity upgrades, improved power quality and reduced line losses, minimize peak load demand, reduce voltage flicker, eliminate the need of having high spinning reserve among others. Despite these advantages, un-intentional islanding remains a big challenge and has to be addressed in integration of Distributed Generation to the power system. Unlike inverter based distributed generators, rotating machine based generators with fast response governors and AVRs are highly capable of sustaining an island. Therefore, anti-islanding protection for these generators is a more challenging problem in comparison with the inverter-based DG. This paper analyses the use of wavelet transform in islanding detection for rotating based distributed generators.
VL  - 4
IS  - 5
ER  -

Copy | Download