دانشگاه تربیت دبیر شهید رجائی
انتشارات دانشگاه تربیت دبیر شهید رجائی

  اخبار و اعلانات

 آمار

تعداد نشریات11
تعداد شماره‌ها210
تعداد مقالات2,101
تعداد مشاهده مقاله2,882,815
تعداد دریافت فایل اصل مقاله2,089,882
Hamedani, P., Fazel, S., Shahbazi, M.. (1403). Modeling and Simulation of DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1. فناوری آموزش, 12(2), 439-448. doi: 10.22061/jecei.2024.10665.728
P. Hamedani; S. S. Fazel; M. Shahbazi. "Modeling and Simulation of DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1". فناوری آموزش, 12, 2, 1403, 439-448. doi: 10.22061/jecei.2024.10665.728
Hamedani, P., Fazel, S., Shahbazi, M.. (1403). 'Modeling and Simulation of DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1', فناوری آموزش, 12(2), pp. 439-448. doi: 10.22061/jecei.2024.10665.728
Hamedani, P., Fazel, S., Shahbazi, M.. Modeling and Simulation of DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1. فناوری آموزش, 1403; 12(2): 439-448. doi: 10.22061/jecei.2024.10665.728

Modeling and Simulation of DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1

Journal of Electrical and Computer Engineering Innovations (JECEI)
مقاله 12، دوره 12، شماره 2، مهر 2024، صفحه 439-448    اصل مقاله (2.27 M)
نوع مقاله: Original Research Paper
شناسه دیجیتال (DOI): 10.22061/jecei.2024.10665.728
نویسندگان
P. Hamedani* 1؛ S. S. Fazel2؛ M. Shahbazi3
1Department of Railway Engineering and Transportation Planning, University of Isfahan, Isfahan, Iran.
2School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran.
3Department of Engineering, Durham University, Durham, U.K.
تاریخ دریافت: 24 بهمن 1402،  تاریخ بازنگری: 17 فروردین 1403،  تاریخ پذیرش: 10 اردیبهشت 1403 
چکیده
Background and Objectives: Modeling and simulation of electric railway networks is an important issue due to their non-linear and variant nature. This problem becomes more serious with the enormous growth in public transportation tracks and the number of moving trains. Therefore, the main aim of this paper is to present a simple and applicable simulation method for DC electric railway systems.
Methods: A train movement simulator in a DC electric railway line is developed using Matlab software. A case study based on the practical parameters of Isfahan Metro Line 1 is performed. The simulator includes the train mechanical movement model and power supply system model. Regenerative braking and driving control modes with coasting control are applied in the simulation.
Results: The simulation results of the power network are presented for a single train traveling in both up and down directions. Results manifest the correctness and simplicity of the suggested method which facilitates the investigation of the DC electric railway networks.
Conclusion: According to the results, the train current is consistent with the electric power demand of the train. But the pantograph voltage has an opposite relationship with its electric power demand. In braking times, the excess power of the train is injected into the electrical network, and thus, overvoltage and undervoltage occur in the overhead contact line and the substation busbar. Therefore, at the maximum braking power of the train, the pantograph voltage reaches its maximum. The highest amount of fluctuation is related to the substation that is closest to the train. As the train moves away from the traction substations, the voltage fluctuations decrease and vice versa.
کلیدواژه‌ها
DC Electric Railway؛ Regenerative Braking؛ Traction Power Systems؛ Isfahan Metro؛ Train Movement Simulation
مراجع

[1] M. Brenna, F. Foiadelli, D. Zaninelli, Electrical Railway Transportation Systems, Wiley-IEEE Press, 2018.

[2] A. A. Mohamed, A. Arshan Khan, A. T. Elsayed, M. A. Elshaer, Transportation Electrification: Breakthroughs in Electrified Vehicles, Aircraft, Rolling Stock, and Watercraft, Wiley-IEEE Press, 2023.

[3] T. Fella, C. J. Goodman, P. Weston, (2010), "Validation of multi train simulation software," presented at the IET Conference on Railway Traction Systems (RTS), 2010.

[4] T. Kulworawanichpong, "Multi-train modeling and simulation integrated with traction power supply solver using simplified Newton–Raphson method," J. Mod. Transport, 23: 241-251, 2015.

[5] M. Chymera, C. J. Goodman, "The calculation of train performance," in Proc. IET 13th Professional Development Course on Electric Traction Systems: 1-13, 2014.

[6] Z. Wu, C. Gao, T. Tang, "An optimal train speed profile planning method for induction motor traction system," Energies, 14(16): 5153, 2021.

[7] D. Hu, Y. Yan, Z. Li, "Optimization methodology for coasting operating point of high-speed train for reducing power consumption," J. Cleaner Prod., 212: 438-446, 2019.

[8] Y. Arikan, E. Çam, "Optimizing of speed profile in electrical trains for energy saving with dynamic programming," presented at the International Symposium on Multidisciplinary Studies and Innovative Technologies, 2019.

[9] N. Zhao, C. Roberts, S. Hillmansen, Z. Tian, P. Weston, L. Chen, "An integrated metro operation optimization to minimize energy consumption," Transp. Res. Part C, 75: 168-182, 2017.

[10] Q. Lai, J. Liu, A. Haghani, L. Meng, Y. Wang, "Energy-efficient speed profile optimization for medium-speed maglev trains," Transp. Res. Part E Logist. Transp. Rev., 141, 2020.

[11] P. Martínez Fernández, I. Villalba Sanchís, V. Yepes, R. Insa Franco, "A review of modelling and optimisation methods applied to railways energy consumption, " J. Cleaner Producti., 222: 153-162, 2019.

[12] L. Yang, K. Li, Z. Gao, X. Li, "Optimizing trains movement on a railway network," Omega, 40(50): 619-633, 2012.

[13] V. Martinisa, M. Gallob, "Models and methods to optimize train speed profiles with and without energy recovery systems: A suburban test case," Procedia Social Behav. Sci., 87: 222-233, 2013.

[14] K. Bih-Yuan, L. Jen-Sen, "Solution of DC power flow for nongrounded traction systems using chain-rule reduction of ladder circuit Jacobian matrices," ASME/IEEE Jt Railr Conf., 2002.

[15] T. Yii-Shen, W. Ruay-Nan, C. Nanming, "Electric network solutions of DC transit systems with inverting substations," IEEE Trans. Veh. Technol, 47(4): 1405-1412, 1998.

[16] C. T. Tse, K.L. Chan, S. L. Ho, S. C. Chow, W. Y. Lo, "Tracking techniques for DC traction loadflow," in Proc. International Conference on Developments in Mass Transit Systems: 286-290, 1998.

[17] T. Kulworawanichpong, "Simplified Newton–Raphson power-flow solution method", Int. J. Electr. Power Energy Syst., 32(6): 551-558, 2010.

[18] H. Alnuman, D. Gladwin, M. Foster, "Electrical modelling of a DC railway system with multiple trains," Energies, 11(11): 3211, 2018.

[19] Z. Tian, S. Hillmansen, C. Roberts, P. Weston, N. Zhao, L. Chen, M. Chen, "Energy evaluation of the power network of a DC railway system with regenerating trains," IET Electr. Syst. Transp., 6(2): 41-49, 2016.

[20] C. L. Pires, S. I. Nabeta, J. R. Cardoso, "ICCG method applied to solve DC traction load flow including earthing models," IET Electr. Power Appl., 1(2): 193-198, 2007.

[21] Y. Cai, M. R. Irving, S. H. Case, "Iterative techniques for the solution of complex DC-rail-traction systems including regenerative braking," IEE Proc. Gener. Transm. Distrib., 142(5): 445-452, 1995.

[22] Y. Cai, M.R. Irving, S.H. Case, "Modelling and numerical solution of multibranched DC rail traction power systems," IEE Proc., Electr. Power Appl., 142(5): 323-328, 1995.

[23] R. A. Jabr, I. Džafić, "Solution of DC railway traction power flow systems including limited network receptivity," IEEE Trans. Power Sys., 33(1): 962-969, 2018.

[24] M. Popescu, A. Bitoleanu, "A review of the energy efficiency improvement in DC railway systems," Energies, 12: 1092, 2019.

[25] Z. Tian, P. Weston, N. Zhao, S. Hilmansen, C. Roberts, L. Chen, M. Chen, "System energy optimisation strategies for metros with regeneration," Transp. Res. Part C Emerg. Technol., 75: 120-135, 2017.

[26] S. Lin, D. Huang, A. Wang, Y. Huang, L. Zhao, R. Luo, G. Lu, "Research on the regeneration braking energy feedback system of urban rail transit," IEEE Trans. Veh. Technol., 68(8): 7329-7339, 2019.

[27] M. Davoodi, H. Jafari Kaleybar, M. Brenna, D. Zaninelli, "Energy management systems for smart electric railway networks: A methodological review, " Sustainability, 15(16): 12204, 2023.

[28] X. Shen, H. Wei, T. T. Lie, "Management and Utilization of Urban Rail Transit Regenerative Braking Energy Based on the Bypass DC Loop," IEEE Trans. Transp. Electrif., 7(3): 1699-1711, 2021.

[29] S. Park, SR. Salkuti, "Optimal energy management of railroad electrical systems with renewable energy and energy storage systems," Sustainability, 11(22): 6293, 2019.

[30] F. Lin, S. Liu, Z. Yang, Y. Zhao, Z. Yang, H. Sun, "Multi-Train energy saving for maximum usage of regenerative energy by dwell time optimization in urban rail transit using genetic algorithm," Energies, 9(3): 208, 2016.

[31] Z. Tian, N. Zhao, S. Hillmansen, S. Su, C. Wen, "Traction power substation load analysis with various train operating styles and substation fault modes," Energies, 13(11): 2788, 2020.

[32] Z. Tian, "System energy optimisation strategies for DC railway traction power networks," Ph.D. dissertation, Dept. of Electronic, Electrical and Systems Eng., University of Birmingham, UK, 2017.

 

آمار
تعداد مشاهده مقاله: 375
تعداد دریافت فایل اصل مقاله: 131


سامانه مدیریت نشریات علمی. طراحی و پیاده سازی از سیناوب