Open Access
MATEC Web Conf.
Volume 294, 2019
2nd International Scientific and Practical Conference “Energy-Optimal Technologies, Logistic and Safety on Transport” (EOT-2019)
Article Number 01005
Number of page(s) 7
Section Energy-Optimized Technologies, Energy Efficiency and Energy Management on Transport
Published online 16 October 2019
  1. A. Mukha, M. Kostin, O. Bondar, A. Nikitenko, O. Kurylenko, Prerequsities of execution the experimental studies for definition of current state of using and accounting of the electrical rolling stock’s regenerative energy on section of the “Pridniprovska” railway, Electrification of Transport, Dnipropetrovsk, Ukraine, № 13, pp. 5458, (2017) [in Ukrainian] [Google Scholar]
  2. B. Wang, Zh. Yang, F. Lin, W. Zhao, An Improved Genetic Algorithm for Optimal Stationary Energy Storage System Locating and Sizing, Energies, Basel, Switzerland, 7(10), pp. 6434-6458, (2014) [Google Scholar]
  3. H. Xia, H. Chen, Zh. Yang, F. Lin, B. Wang, Optimal Energy Management, Location and Size for Stationary Energy Storage System in a Metro Line Based on Genetic Algorithm, Energies, Basel, Switzerland, 8(10), pp. 11618-11640, (2015) [Google Scholar]
  4. Y. Geng, B. Li, Zh Yang, F. Lin, H. Sun, A High Efficiency Charging Strategy for a Supercapacitor Using a Wireless Power Transfer System Based on Inductor/Capacitor/Capacitor (LCC) Compensation Topology, Energies, Basel, Switzerland, 10(1), 135 pp. 1-17 (2017) [Google Scholar]
  5. K. G. Markvardt, Power supply of electrified railways, Pub. “Transport”, Moscow, (1982) [in Russian] [Google Scholar]
  6. T. Ratniyomchai, S. Hillmansen, P. Tricoli, Optimal Capacity and Positioning of Stationary Supercapacitors for Light Rail Vehicle Systems, International Symposium on Power Electronics, Electrical Drives, Automation and Motion, IEEE, 807-812 (2014). [Google Scholar]
  7. P. V. Radu, and Z. Drabek, “Analysis of wayside energy storage devices for DC heavy rail transport”, Proceedings of 13th International Conference “Modern Electrified Transport” MET’2017, Warsaw, Poland, Vol. 180, 04001 (2018) [Google Scholar]
  8. A. Szelag, T. Maciolek, Z. Drazek, M. Lewandowski, Conditions for the effective use of traction substations with possible return of trains regenerative braking energy into a power network in a 3 kV DC supply system, Logistyka 3, pp. 46834692 (2015) [Google Scholar]
  9. W. Jefimowski, and A. Nikitenko, “Case study of stationary energy storage device in a 3 kV DC traction system”, Proceedings of 13th International Conference “Modern Electrified Transport” MET’2017, Warsaw, Poland, Vol. 180, 02005 (2018) [Google Scholar]
  10. V. G. Sychenko, D.O. Bosiy, E. M. Kosarev, Improving the quality of voltage in the system of traction power supply of direct current, Archives of Transport, Warsaw, Poland, Vol. 35, Iss. 3, pp. 6370 (2015) [Google Scholar]
  11. M. Kostin, The methods for powers determination in the systems withstochastic electric processes, Technical Electrodynamics, Kyiv, Ukraine, vol. 6, pp. 6-8 (2006) [Google Scholar]
  12. M. Kostin, A. Nikitenko, Statistics and Probability Analysis of Voltage on the Pantograph of DC Electric Locomotive in the Recuperation Mode, Przegląd Electrotechniczny, Warsaw, Poland, No 2a, pp. 273-275 (2013) [Google Scholar]
  13. A. Nikitenko, M. Kostin, The method of the correlation and dispersion defining of the total power components in the electric transport devices, Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, Dnipropetrovsk, Ukraine, vol. 1(44), pp. 64-75 (2013) [Google Scholar]
  14. V.T. Cheremisin, M.M. Nikiforov, V . L. Nevezak, The choice of placement of equipment for energy storage at the DC experimental section according to the criterion of energy efficiency, Science and transport, St. Petersburg, Russia, 2(6), pp. 48-52 (2013) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.