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Railway transport system energy flow optimization with an integrated microgrid

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Railway transport system microgrid model is observed from the point of balancing energy flows between accelerating and decelerating trains, hybrid energy storage systems and a single supply substation connected to the main power grid. In this paper, an energy flow optimization of a railway system microgrid is presented. Optimization problem is formulated as a linear program that takes into account energy storage systems with corresponding charge and discharge efficiencies, actual electricity prices and simulated daily train consumption profiles. Performance of the proposed approach is verified through one-day simulation scenario with model predictive control scheme and by considering different prediction horizon lengths.
Słowa kluczowe
Rocznik
Strony
88--94, CD
Opis fizyczny
Bibliogr. 20 poz., rys.
Twórcy
autor
  • University of Zagreb, Faculty of Electrical Engineering and Computing, Laboratory for Renewable Energy Systems, Croatia
autor
  • University of Zagreb, Faculty of Electrical Engineering and Computing, Laboratory for Renewable Energy Systems, Croatia
autor
  • University of Zagreb, Faculty of Electrical Engineering and Computing, Laboratory for Renewable Energy Systems, Croatia
autor
  • University of Zagreb, Faculty of Electrical Engineering and Computing, Laboratory for Renewable Energy Systems, Croatia
Bibliografia
  • [1] Publications Office of the European Union, European Commission. EU Transport in figures: Statistical pocketbook 2014. Luxembourg, 2014.
  • [2] “Annual energy report – Energy in Croatia 2013”, Republic of Croatia, Ministry of economy, December 2014., Zagreb
  • [3] X. Sun, H. Cai, X. Hou, M. Zhang and H. Dong, “Regenerative Braking Energy Utilization by Multi Train Cooperation,” Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on, pp.139-144, Oct. 2014.
  • [4] S. Su, T. Tang, C. Roberts and L. Huang, "Cooperative train control for energy-saving," Intelligent Rail Transportation (ICIRT), 2013 IEEE International Conference on, pp.7-12, Aug. 2013.
  • [5] S. de la Torre, A. J. Sanchez-Racero, J. A. Aguado, M. Reyes and O. Martinez, “Optimal Sizing of Energy Storage for Regenerative Braking in Electric Railways Systems,” Power Systems, IEEE Transactions on, vol. 30, no. 3, pp. 1492-1500 May 2015.
  • [6] Y. Jiang, J. Liu, W. Tian, M. Shahidehpour and M. Krishnamurthy, "Energy Harvesting for the Electrification of Railway Stations: Getting a charge from the regenerative braking of trains," Electrification Magazine, IEEE , vol. 2, no. 3, pp. 39-48 Sept. 2014.
  • [7] E. P. de la Fuente, S. K. Mazumder and I. G. Franco, "Railway Electrical Smart Grids: An introduction to next-generation railway power systems and their operation.," Electrification Magazine, IEEE, vol. 2, no. 3, pp. 49-55 Sept. 2014.
  • [8] P. Pankovits, J. Pouget, B. Robyns, F. Delhaye and S. Brisset, "Towards railway-smartgrid: Energy management optimization for hybrid railway power substations," Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES, pp.12- 15 Oct. 2014.
  • [9] S. Nasr, M. Iordache and M. Petit, "Smart micro-grid integration in DC railway systems," Innovative Smart Grid Technologies Conference Europe (ISGT Europe), 2014 IEEE PES, pp. 12-15 Oct. 2014.
  • [10] T. Ratniyomchai, S. Hillmansen and P. Tricoli, "Recent developments and applications of energy storage devices in electrified railways," Electrical Systems in Transportation, IET, pp. 9-20 March 2014.
  • [11] A. Okui, S. Hase, H. Shigeeda, T. Konishi and T. Yoshi, "Application of energy storage system for railway transportation in Japan," Power Electronics Conference (IPEC), 2010 International, pp. 3117-3123 June 2010.
  • [12] H. Hayashiya, S. Kikuchi, K. Matsuura, M. Hino, M. Tojo, T. Kato, M. Ando, T. Oikawa, M. Kamata and H. Munakata, "Possibility of energy saving by introducing energy conversion and energy storage technologies in traction power supply system," Power Electronics and Applications (EPE), 2013 15th European Conference on, pp. 2-6 Sept. 2013.
  • [13] V. Calderaro, V. Galdi, G. Graber and A. Piccolo, "Siting and sizing of stationary SuperCapacitors in a Metro Network," AEIT Annual Conference, 2013, pp. 3-5 Oct. 2013.
  • [14] M. Gulin, J. Matuško and M. Vašak, "Stochastic model predictive control for optimal economic operation of a residential DC microgrid," Industrial Technology (ICIT), 2015 IEEE International Conference on, pp.505-510 March 2015.
  • [15] M. Gulin, M. Vašak and M. Baotić, “Analysis of microgrid power flow optimization with consideration of residual storages state,” Proceedings of the 2015 European Control Conference, Austria, pp. 3131-3136.
  • [16] M. Vašak, M. Baotić, N. Perić, and M. Bago, “Optimal rail route energy management under constraints and fixed arrival time,” in Proceedings of the European Control Conference, 2009, pp. 2972–2977.
  • [17] M. Vašak, M. Baotić, M. Bago, and N. Perić, “Constrained energy optimal control of trains: Conceptual implementation,” in 30th Conference on Transportation Systems with International Participation Automation in Transportation, 2010, pp. 143– 146.
  • [18] EPEX SPOT. (2015, July 18). European Power Exchange Electricity Index. Available: http:// www.epexspot.com
  • [19] J. B. Rawlings and D. Q. Mayne, Model Predictive Control: Theory and Design, 1st ed. Nob Hill Publishing, 2009.
  • [20] J. Löfberg, “YALMIP: A toolbox for modelling and optimization in MATLAB,” in Proceedings of the 2004 IEEE International Symposium on Computer Aided Control System Design, Taiwan, 2004, pp. 284– 289
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3814baf2-6c37-4692-b9bd-b1171a5eb53c
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