Open Access
Issue
MATEC Web Conf.
Volume 77, 2016
2016 3rd International Conference on Mechanics and Mechatronics Research (ICMMR 2016)
Article Number 16001
Number of page(s) 7
Section Power System Analysis
DOI https://doi.org/10.1051/matecconf/20167716001
Published online 03 October 2016
  1. G. Williamson, N. Jenkins, and G. Cornfield. Use of naturally occurring system disturbances to estimate the fault current contribution of induction motors.IEE Proceedings in Generation, Transmission and Distribution, 143, 3 (1996) [CrossRef]
  2. C. Mortley. The contribution to distribution network fault levels from the connection of distributed generation, KEMA Conference, London, UK, (2005)
  3. S. Conner and A. Cruden. An automatic transient detection system which can be incorporated into an algorithm to accurately determine the fault level in networks with DG, International Universities Power Engineering Conference, London, UK, (2012)
  4. H. Yazdanpanahi, Y. W. Li, and W. Xu. A new control strategy to mitigate the impact of inverter-based dgs on protection system. IEEE Transactions on Smart Grid, 3, 3(2012) [CrossRef]
  5. J. Berry, S. Jupe, M. Meisinger, and J. Outram. Implementation of an active fault level monitoring system for distributed generation integration. International Conference and Exhibition on Electricity Distribution, Stockholm, Sweden (2013)
  6. P. Vovos and S. Hwachang. Analytical approach to large-scale system splitting for the regulation of fault levels. IEEE PowerTech Conference, Eindhoven, Holland, (2015)
  7. M. S. Yahaya, M. F. Basar, Z. Ibrahim, M. N. N. Nasir, M. Y. Lada, and W. M. Bukhari. A Review on the Impact of Embedded Generation to Network Fault Level. International Conference on Mathematics Engineering and Industrial Applications, Penang, Malaysia (2014)
  8. K. S. Ratnadeep, Y. N. Bhosale, and S. Kulkarni.Fault level analysis of power distribution system. Energy Efficient Technologies for Sustainability Conference (ICEETS), Nagercoil, India (2013)
  9. E. S. Ibrahim and M. Idres. On-line fault level measurement. Electric Machines and Power Systems. 26, 2(1998) [CrossRef]
  10. G. C. Cornfield. Estimating system fault level from naturally occurring disturbances. IEE Colloquium onFault Level Assessment Guessing with Greater Precision, London, UK (1996)
  11. O. R. Ltd. Fault Level Prediction. [Online]. Available at: http://www.outramresearch.co.uk/flm/pages/product_fault_level_overview.shtml
  12. H. H, S. Subramanian, and K. Venkataraman. A novel technique for fault level prediction in active distribution networks. Advanced Power System Automation and Protection Conference, Nanjing, China(2015)
  13. E. S. Ibrahim. Experimental Measurements of Fault Level For Sceco West, Kingdom of Saudi Arabia. Engineering Sciences, 15, 1 (2004)
  14. M. R. Rylander, W. M. Grady, A. Mansoor, and F. Gorgette. Passive agent system impedance monitoring station and method. US Patents (2013)
  15. G. Gurrala and I. Sen. Power system stabilizers design for interconnected power systems.IEEE Transactions on Power Systems, 25, 2 (2010) [CrossRef]
  16. H. Zhang, F. Shi, and Y. Liu. Enhancing optimal excitation control by adaptive fuzzy logic rules, International Journal of Electrical Power & Energy Systems, 63, 1 (2014) [CrossRef]
  17. J. M. Mendel, R. I. John, and F. Liu. Interval type-2 fuzzy logic systems made simple. IEEE Transactions on Fuzzy Systems, 14, 6(2006)
  18. P. S. Bhati and R. Gupta. Robust fuzzy logic power system stabilizer based on evolution and learning. International Journal of Electrical Power & Energy Systems, 53, 1 (2013) [CrossRef]

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