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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Research on Islanding Detection of Grid-Connected System

Author 1: Liu Zhifeng Author 2: Zhang Liping Author 3: Chen Yuchen Author 4: Jia Chunying
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 6, No. 7 · Published 2015 · Cited by 5

DOI: https://doi.org/10.14569/IJACSA.2015.060713

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Abstract

This paper proposed a modified detection based on the point of common coupling (PCC) voltage in the three-phrase inverter, combined over/under frequency protection, to achieve the detection of islanding states rapidly. Islanding detection is an common issue existing in distributed generation system. Compared with active islanding detection ,this method could detect the islanding quickly and effectively .The simulation and experimental results shows that this new method can detect the islanding phenomenon quickly and accurately, which can meet the requirement of islanding detection standard, which ensure the stability of the system and the power quality recycling to the grid.

Keywords

islanding detection self-adaptive active frequency shift d-q transform

How to Cite this Article

Zhifeng, L., Liping, Z., Yuchen, C., & Chunying, J. (2015). Research on Islanding Detection of Grid-Connected System. International Journal of Advanced Computer Science and Applications, 6(7). https://doi.org/10.14569/IJACSA.2015.060713

Zhifeng, Liu, et al.. "Research on Islanding Detection of Grid-Connected System." International Journal of Advanced Computer Science and Applications, vol. 6, no. 7, 2015, https://doi.org/10.14569/IJACSA.2015.060713.

@article{Zhifeng2015,
  title     = {Research on Islanding Detection of Grid-Connected System},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {6},
  number    = {7},
  year      = {2015},
  publisher = {The Science and Information Organization},
  author    = {Liu Zhifeng and Zhang Liping and Chen Yuchen and Jia Chunying},
  doi       = {10.14569/IJACSA.2015.060713},
  url       = {https://doi.org/10.14569/IJACSA.2015.060713}
}

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