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Evaluation of power transformer inrush currents and internal faults discrimination methods in presence of fault current limiter

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  • Sahebi, Ali
  • Samet, Haidar
  • Ghanbari, Teymoor

Abstract

Due to increase in penetration of Distributed Generations (DGs) in power systems, fault current level is being increased, which results in some problems in the systems. Fault Current Limiters (FCLs) are attractive devices to tackle these problems for transmission and distribution systems. The utilized FCLs may have considerable impact on the signals used for differential protection of power transformers, which leads to mal-operation of these protections. It seems a comprehensive analysis is necessary for performance evaluation of differential protection algorithms in presence of FCLs. This paper deals with investigation of FCLs impact on power transformers’ differential protection. The performance of some well-known differential protection algorithms for discrimination between internal fault current and magnetizing inrush current with and without presence of FCL are evaluated.

Suggested Citation

  • Sahebi, Ali & Samet, Haidar & Ghanbari, Teymoor, 2017. "Evaluation of power transformer inrush currents and internal faults discrimination methods in presence of fault current limiter," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 102-112.
    • Handle: RePEc:eee:rensus:v:68:y:2017:i:p1:p:102-112
    DOI: 10.1016/j.rser.2016.09.124
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    References listed on IDEAS

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    1. Samet, Haidar, 2016. "Evaluation of digital metering methods used in protection and reactive power compensation of micro-grids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 260-279.
    2. Taghavi, Reza & Seifi, Ali Reza & Samet, Haidar, 2015. "Stochastic reactive power dispatch in hybrid power system with intermittent wind power generation," Energy, Elsevier, vol. 89(C), pages 511-518.
    3. Samet, Haidar & Hashemi, Farid & Ghanbari, Teymoor, 2015. "Minimum non detection zone for islanding detection using an optimal Artificial Neural Network algorithm based on PSO," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1-18.
    4. Samet, Haidar & Marzbani, Fatemeh, 2014. "Quantizing the deterministic nonlinearity in wind speed time series," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1143-1154.
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    Cited by:

    1. Md Shafiul Alam & Mohammad Ali Yousef Abido & Ibrahim El-Amin, 2018. "Fault Current Limiters in Power Systems: A Comprehensive Review," Energies, MDPI, vol. 11(5), pages 1-24, April.
    2. Guo, Qi & Xiao, Fan & Tu, Chunming & Jiang, Fei & Zhu, Rongwu & Ye, Jian & Gao, Jiayuan, 2022. "An overview of series-connected power electronic converter with function extension strategies in the context of high-penetration of power electronics and renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).

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