Energy Consumption Assessment in A DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line ۱

سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 68

فایل این مقاله در 11 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_IJE-38-3_002

تاریخ نمایه سازی: 25 مهر 1403

چکیده مقاله:

Regeneration of electric energy during braking is an important issue in electric railway systems. Especially in older electric railway systems that have non-reversible DC traction substations, the goal is to modify the structure of the DC traction substations and replace them with reversible converters at the lowest cost. Accurate evaluation of the power flow and the energy distribution in an electric railway system needs a comprehensive study of the whole railway system with multiple moving trains. But, the modeling and simulation of an electric railway network are complicated due to its nonlinear, time-variant, and large-scale structure. This paper presents the electric energy distribution in the Isfahan Metro Line ۱ with and without regenerative braking. For this purpose, a simulator is developed for the DC electric railway systems with multiple moving trains. Driving control strategies, including coasting control, have been applied. The understudy system consists of ۷ DC traction substations and ۱۰ trains traveling on the up track. Different scenarios have been simulated with various combinations of reversible and non-reversible DC traction substations. Results reveal that the electric energy consumption of the system with regenerating trains and reversible DC traction substations is ۲۷.۱۳% lower than the system without regenerative braking. To mitigate the energy consumption in the Isfahan Metro Line ۱ using the regenerative braking system, it is not mandatory to upgrade the structure of all ۷ DC traction substations. Results show that it is possible to reduce electric energy consumption by ۲۶% through installing only ۵ reversible traction substations.

نویسندگان

P. Hamedani

Department of Railway Engineering and Transportation Planning, University of Isfahan, Isfahan, Iran

S. S. Fazel

Department of Electric Railway Engineering, School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran

M. Shahbazi

Department of Engineering, Durham University, Durham, U.K.

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • Tarassodi P, Adabi J, Rezanejad M. Energy Management of an ...
  • Delkhosh M, Saadat Foumani M, Lashgarian Azad N. A New ...
  • Maghfiroh H, Wahyunggoro O, Imam Cahyadi A. Enhancing Low-Pass Filter ...
  • Imanifar A, Yaghobi H. Using Reluctance Torque Theory in Spoke ...
  • Tian H, Safiullin RN, Safiullin RR. Integral evaluation of implementation ...
  • Goodman C, Sin L, editors. DC railway power network solutions ...
  • Mellitt B, Goodman C, Arthurton R, editors. Simulator for studying ...
  • Fella T, Goodman C, Weston P. Validation of multi train ...
  • Kulworawanichpong T. Multi-train modeling and simulation integrated with traction power ...
  • Seraco IP, Neto HXR. Contribution to railway track maintenance planning ...
  • Chymera M, Goodman C, editors. The calculation of train performance. ...
  • Sumpavakup C, Kulworawanichpong T. Multi-train movement simulation using MATLAB object-oriented ...
  • Jong J-C, Chang S. Algorithms for generating train speed profiles. ...
  • Arıkan Y, Çam E, editors. Optimizing of speed profile in ...
  • Zhao N, Roberts C, Hillmansen S, Tian Z, Weston P, ...
  • Yang L, Li K, Gao Z, Li X. Optimizing trains ...
  • De Martinis V, Gallo M. Models and methods to optimise ...
  • Abdulwahid AH. Artificial intelligence-based control techniques for hvdc systems. Emerging ...
  • Ponnian J, Pari S, Ramadass U, Ooi CP. A Unified ...
  • Ku B-Y, Liu J-S, editors. Solution of DC power flow ...
  • Tzeng YS, Wu R-N, Chen N. Electric network solutions of ...
  • Tse C, Chan K, Ho SL, Chow S, Lo W, ...
  • Kulworawanichpong T. Simplified Newton–Raphson power-flow solution method. International journal of ...
  • Alnuman H, Gladwin D, Foster M. Electrical modelling of a ...
  • Tian Z, Hillmansen S, Roberts C, Weston P, Zhao N, ...
  • Pires CL, Nabeta SI, Cardoso JR. ICCG method applied to ...
  • Cai Y, Irving M, Case S. Iterative techniques for the ...
  • Cai Y, Irving M, Case S. Modelling and numerical solution ...
  • Jabr RA, Džafić I. Solution of DC railway traction power ...
  • Tian Z, Zhao N, Hillmansen S, Su S, Wen C. ...
  • Popescu M, Bitoleanu A. A review of the energy efficiency ...
  • Tian Z, Weston P, Zhao N, Hillmansen S, Roberts C, ...
  • Lin S, Huang D, Wang A, Huang Y, Zhao L, ...
  • Lin F, Liu S, Yang Z, Zhao Y, Yang Z, ...
  • Modeling and Simulation of DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line ۱ [مقاله ژورنالی]
  • Tian Z. System energy optimisation strategies for DC railway traction ...
  • نمایش کامل مراجع