Research on a New Type of Composite Islanding Detection Method

Wang Hao; An Yuan; Wang Songkai; Ding Hang

doi:doi:10.11648/j.sd.20170502.12

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Research on a New Type of Composite Islanding Detection Method

Wang Hao, An Yuan, Wang Songkai, Ding Hang

Published in Science Discovery (Volume 5, Issue 2)

Received: 20 April 2017 Published: 20 April 2017

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Abstract

Distributed photovoltaic (PV) grid failure occurs, the short circuit fault current is small, and the power flow is bidirectional, the traditional power grid relay protection method is no longer applicable. In this article, through the study of traditional active frequency drift islanding detection method (AFD), analyses its advantages and disadvantages and applicable occasions, a new type of composite island detection method is proposed, the method based on adaptive islanding detection method accelerated frequency shift (AAFD), by introducing the common coupling point voltage frequency in a direction of continuous change number n, piecewise adaptively adjust frequency positive feedback coefficient, accelerate the limit of the frequency deviation, if the number of change if more than a dozen times, are not the limit of the frequency, the constant 2 cycle of negative pulse current amplitude power frequency interference, trigger under-voltage protection, so as to detect the island.this method can reduce the grid harmonic distortion rate, improve the response time of the island detection. At last, through Matlab simulation to verify.

Published in	Science Discovery (Volume 5, Issue 2)
DOI	10.11648/j.sd.20170502.12
Page(s)	86-93
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), 2017. Published by Science Publishing Group

Keywords

Distributed Photovoltaic, An Island Detection, Frequency Deviation, The Adaptive

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APA Style

Wang Hao, An Yuan, Wang Songkai, Ding Hang. (2017). Research on a New Type of Composite Islanding Detection Method. Science Discovery, 5(2), 86-93. https://doi.org/10.11648/j.sd.20170502.12

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ACS Style

Wang Hao; An Yuan; Wang Songkai; Ding Hang. Research on a New Type of Composite Islanding Detection Method. Sci. Discov. 2017, 5(2), 86-93. doi: 10.11648/j.sd.20170502.12

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AMA Style

Wang Hao, An Yuan, Wang Songkai, Ding Hang. Research on a New Type of Composite Islanding Detection Method. Sci Discov. 2017;5(2):86-93. doi: 10.11648/j.sd.20170502.12

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@article{10.11648/j.sd.20170502.12,
  author = {Wang Hao and An Yuan and Wang Songkai and Ding Hang},
  title = {Research on a New Type of Composite Islanding Detection Method},
  journal = {Science Discovery},
  volume = {5},
  number = {2},
  pages = {86-93},
  doi = {10.11648/j.sd.20170502.12},
  url = {https://doi.org/10.11648/j.sd.20170502.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20170502.12},
  abstract = {Distributed photovoltaic (PV) grid failure occurs, the short circuit fault current is small, and the power flow is bidirectional, the traditional power grid relay protection method is no longer applicable. In this article, through the study of traditional active frequency drift islanding detection method (AFD), analyses its advantages and disadvantages and applicable occasions, a new type of composite island detection method is proposed, the method based on adaptive islanding detection method accelerated frequency shift (AAFD), by introducing the common coupling point voltage frequency in a direction of continuous change number n, piecewise adaptively adjust frequency positive feedback coefficient, accelerate the limit of the frequency deviation, if the number of change if more than a dozen times, are not the limit of the frequency, the constant 2 cycle of negative pulse current amplitude power frequency interference, trigger under-voltage protection, so as to detect the island.this method can reduce the grid harmonic distortion rate, improve the response time of the island detection. At last, through Matlab simulation to verify.},
 year = {2017}
}

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TY  - JOUR
T1  - Research on a New Type of Composite Islanding Detection Method
AU  - Wang Hao
AU  - An Yuan
AU  - Wang Songkai
AU  - Ding Hang
Y1  - 2017/04/20
PY  - 2017
N1  - https://doi.org/10.11648/j.sd.20170502.12
DO  - 10.11648/j.sd.20170502.12
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 86
EP  - 93
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20170502.12
AB  - Distributed photovoltaic (PV) grid failure occurs, the short circuit fault current is small, and the power flow is bidirectional, the traditional power grid relay protection method is no longer applicable. In this article, through the study of traditional active frequency drift islanding detection method (AFD), analyses its advantages and disadvantages and applicable occasions, a new type of composite island detection method is proposed, the method based on adaptive islanding detection method accelerated frequency shift (AAFD), by introducing the common coupling point voltage frequency in a direction of continuous change number n, piecewise adaptively adjust frequency positive feedback coefficient, accelerate the limit of the frequency deviation, if the number of change if more than a dozen times, are not the limit of the frequency, the constant 2 cycle of negative pulse current amplitude power frequency interference, trigger under-voltage protection, so as to detect the island.this method can reduce the grid harmonic distortion rate, improve the response time of the island detection. At last, through Matlab simulation to verify.
VL  - 5
IS  - 2
ER  -

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Author Information

Wang Hao

Institute of Water Resources and Hydro-electric Engineering, Xi'an University of Technology, Xi'an, China
An Yuan

Institute of Water Resources and Hydro-electric Engineering, Xi'an University of Technology, Xi'an, China
Wang Songkai

Institute of Water Resources and Hydro-electric Engineering, Xi'an University of Technology, Xi'an, China
Ding Hang

Institute of Water Resources and Hydro-electric Engineering, Xi'an University of Technology, Xi'an, China

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Plain Text BibTeX RIS

APA Style

Wang Hao, An Yuan, Wang Songkai, Ding Hang. (2017). Research on a New Type of Composite Islanding Detection Method. Science Discovery, 5(2), 86-93. https://doi.org/10.11648/j.sd.20170502.12

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ACS Style

Wang Hao; An Yuan; Wang Songkai; Ding Hang. Research on a New Type of Composite Islanding Detection Method. Sci. Discov. 2017, 5(2), 86-93. doi: 10.11648/j.sd.20170502.12

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AMA Style

Wang Hao, An Yuan, Wang Songkai, Ding Hang. Research on a New Type of Composite Islanding Detection Method. Sci Discov. 2017;5(2):86-93. doi: 10.11648/j.sd.20170502.12

Copy | Download

@article{10.11648/j.sd.20170502.12,
  author = {Wang Hao and An Yuan and Wang Songkai and Ding Hang},
  title = {Research on a New Type of Composite Islanding Detection Method},
  journal = {Science Discovery},
  volume = {5},
  number = {2},
  pages = {86-93},
  doi = {10.11648/j.sd.20170502.12},
  url = {https://doi.org/10.11648/j.sd.20170502.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20170502.12},
  abstract = {Distributed photovoltaic (PV) grid failure occurs, the short circuit fault current is small, and the power flow is bidirectional, the traditional power grid relay protection method is no longer applicable. In this article, through the study of traditional active frequency drift islanding detection method (AFD), analyses its advantages and disadvantages and applicable occasions, a new type of composite island detection method is proposed, the method based on adaptive islanding detection method accelerated frequency shift (AAFD), by introducing the common coupling point voltage frequency in a direction of continuous change number n, piecewise adaptively adjust frequency positive feedback coefficient, accelerate the limit of the frequency deviation, if the number of change if more than a dozen times, are not the limit of the frequency, the constant 2 cycle of negative pulse current amplitude power frequency interference, trigger under-voltage protection, so as to detect the island.this method can reduce the grid harmonic distortion rate, improve the response time of the island detection. At last, through Matlab simulation to verify.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Research on a New Type of Composite Islanding Detection Method
AU  - Wang Hao
AU  - An Yuan
AU  - Wang Songkai
AU  - Ding Hang
Y1  - 2017/04/20
PY  - 2017
N1  - https://doi.org/10.11648/j.sd.20170502.12
DO  - 10.11648/j.sd.20170502.12
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 86
EP  - 93
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20170502.12
AB  - Distributed photovoltaic (PV) grid failure occurs, the short circuit fault current is small, and the power flow is bidirectional, the traditional power grid relay protection method is no longer applicable. In this article, through the study of traditional active frequency drift islanding detection method (AFD), analyses its advantages and disadvantages and applicable occasions, a new type of composite island detection method is proposed, the method based on adaptive islanding detection method accelerated frequency shift (AAFD), by introducing the common coupling point voltage frequency in a direction of continuous change number n, piecewise adaptively adjust frequency positive feedback coefficient, accelerate the limit of the frequency deviation, if the number of change if more than a dozen times, are not the limit of the frequency, the constant 2 cycle of negative pulse current amplitude power frequency interference, trigger under-voltage protection, so as to detect the island.this method can reduce the grid harmonic distortion rate, improve the response time of the island detection. At last, through Matlab simulation to verify.
VL  - 5
IS  - 2
ER  -

Copy | Download