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Simulation model and state analysis of ship transmission line

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In order to discuss the simulation model of the ship transmission line and the state of the transmission line, an early fault model is built according to the evolution principle of the short circuit fault of the transmission line and combining with the fault characteristics of the early fault. A small distributed ship transmission line system is built in MATLAB/ Simulink. Then, combined with the constructed fault module, the original short circuit module, and the load module, the various states (normal state, early fault state, severe early fault state, short circuit state) of the ship transmission line are stimulated, and the features of voltage signal in each state is analysed. It is concluded that, due to the normal operation of the ship transmission line system, the variation characteristics of the flow signal and voltage signal caused by the sudden load mutation, that is, the sudden load and the sudden increase load, are very similar to the changes caused by the early fault. Therefore, in order to find a more accurate early fault detection method, the state is divided into normal state, sudden load state, sudden increase and sudden decrease load state.
Rocznik
Tom
S 3
Strony
36--42
Opis fizyczny
Bibliogr. 18 poz., rys., tab.
Twórcy
autor
  • nstitute of Water Resources and Hydro-electric Engineering Xi’an University of Technology & Shaanxi Electric Power Design Institute Co. Ltd. Xi’an710048 China
autor
  • State Grid Shaanxi Economic Research Institute Xi’an710065 China
autor
  • Institute of Water Resources and Hydro-electric Engineering Xi’an University of Technology & Shaanxi Electric Power Design Institute Co. Ltd. Xi’an710048 China
Bibliografia
  • 1. G. F. Lauss, M. O. Faruque, K. Schoder, C. Dufour, A. Viehweider, and J. Langston, “Characteristics and design of power hardware-in-the-loop simulations for electrical power systems,” IEEE Transactions on Industrial Electronics, Vol. 63, No. 1, pp. 406-417, 2016.
  • 2. H. Park, J. Sun, S. Pekarek, P. Stone, D. Opila, R. Meyer, and R. DeCarlo, “Real-time model predictive control for shipboard power management using the IPA-SQP approach,” IEEE Transactions on Control Systems Technology, Vol. 23, No. 6, pp. 2129-2143, 2015.
  • 3. S. Y. Kim, S. Choe, S. Ko, and S. K. Sul, “A Naval Integrated Power System with a Battery Energy Storage System: Fuel efficiency, reliability, and quality of power,” IEEE electrification magazine, Vol. 3, No. 2, pp. 22-33, 2015.
  • 4. A. P. N. Tahim, D. J. Pagano, E. Lenz, and V. Stramosk, “Modeling and stability analysis of islanded DC microgrids under droop control,” IEEE Transactions on Power Electronics, Vol. 30, No. 8, pp. 4597-4607, 2015.
  • 5. F. Shariatzadeh, C. B. Vellaithurai, S. S. Biswas, R. Zamora, and A. K. Srivastava, “Real-time implementation of intelligent reconfiguration algorithm for microgrid,” IEEE Transactions on sustainable energy, Vol. 5, No. 2, pp. 598-607, 2014.
  • 6. N. C. Coops, F. M. A. Fontana, G. K. A. Harvey, T. A Nelson, and M. A. Wulder, “Monitoring of a national-scale indirect indicator of biodiversity using a long time-series of remotely sensed imagery,” Canadian Journal of Remote Sensing, Vol. 40, No. 3, pp. 179-191, 2014.
  • 7. J. Ma, W. Ma, D. Xu,Y. Qiu, and Z. Wang, “A power restoration strategy for the distribution network based on the weighted ideal point method,” International Journal of Electrical Power & Energy Systems, Vol. 63, No. 2, pp. 1030- 1038, 2014.
  • 8. S. Z. Jamali, M. O. Khan, S. B. A. Bukhari, M. Mehdi, G. H. Gwon, and C. H. Noh, “Short-circuit fault protection of a low voltage dc distribution system using superimposed current components,” Journal of the Korean Institute of Illuminating & Electrical Installation Engineers, Vol. 31, No. 10, pp. 86-94, 2017.
  • 9. Y. Wang, G. Xu, L. Lin, and K. Jiang, “Detection of weak transient signals based on wavelet packet transform and manifold learning for rolling element bearing fault diagnosis,” Mechanical Systems & Signal Processing, 54-55, 259-276, 2015.
  • 10. H. Li, K. Dong H. Jiang, R. Sun, X. Guo, and Y. Fan, “Risk assessment of china’s overseas oil refining investment using a fuzzy-grey comprehensive evaluation method,” Sustainability, Vol. 9, No. 5, pp. 696-713, 2017.
  • 11. M. D. Francesco, S. Fagioli, M.D. Rosini, and G. Russo, “Deterministic particle approximation of the Hughes model in one space dimension,” Kinetic & Related Models, Vol. 10, No. 1, pp. 215-237, 2016.
  • 12. N. Hozumi, K. Frusawa, H. Ooba, and F. Aono, “The actual situation and problem of a diagnosis, the evaluation technique in an insulation electric wire, the cable for the supply of electric power,” Ieej Transactions on Power & Energy, Vol. 137, No. 5, pp. 339-343, 2017.
  • 13. J. Feng Jie, X. J. Liu Xiaojun, “Design of Upright Intelligent Vehicle Based on Camera,” Acta Electronica Malaysia, Vol. 1, No. 1, pp. 09-11, 2017.
  • 14. Z. C. Yu, “An Improved Infrared and Visible Image Fusion Algorithm Based on Curvelet Transform,” Acta Electronica Malaysia, Vol. 1, No. 1, pp. 12-14, 2017.
  • 15. Z. G. He, X. N. Gu, X. Y. Sun, J. Liu, and B. S. Wang, “An efficient pseudo-potential multiphase lattice Boltzmann simulation model for three-dimensional multiphase flows,” Acta Mechanica Malaysia, Vol. 1, No. 1, pp. 08-10, 2017.
  • 16. X. Luo, “Research on Anti-Overturning Performance of Multi-Span Curved Girder Bridge with Small Radius,” Acta Mechanica Malaysia, Vol. 1, No. 1, pp. 11-15.
  • 17. F. De’nan, N. Naaim, and C. L. Lai, “Behaviour of flush end-plate connection for perforated section,” Engineering Heritage Journal, Vol. 1, No. 1, pp. 11-20, 2017.
  • 18. N. S. Abdul Sukor, and A. F. Mohd Sadullah, „Addressing the road safety result impasse through an outcome-based approach in the state of Penang, Malaysia,” Engineering Heritage Journal Vol. 1 No. 1, pp. 21-24, 2017.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a75aa8ab-da7d-4d17-a8ef-13f88f5cf218
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