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Pregled bibliografske jedinice broj: 782425

Railway transport system energy flow optimization with integrated microgrid


Novak, Hrvoje; Vašak, Mario; Gulin, Marko; Lešić, Vinko;
Railway transport system energy flow optimization with integrated microgrid // Proceedings of the 12th International Conference on Modern Electrified Transport, MET 2015
Trogir, Hrvatska, 2015. str. 88-94 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 782425 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Railway transport system energy flow optimization with integrated microgrid

Autori
Novak, Hrvoje ; Vašak, Mario ; Gulin, Marko ; Lešić, Vinko ;

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 12th International Conference on Modern Electrified Transport, MET 2015 / - , 2015, 88-94

Skup
12th International Conference on Modern Electrified Transport, MET 2015

Mjesto i datum
Trogir, Hrvatska, 04.10.2015. - 07.10.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Cost-optimal railway system control ; Microgrid energy flow optimization ; Model predictive control ; Regenerative breaking energy utilization ; Energy-efficient railway transport system

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Tehnologija prometa i transport



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Mario Vašak (autor)

Avatar Url Vinko Lešić (autor)

Avatar Url Hrvoje Novak (autor)

Avatar Url Marko Gulin (autor)


Citiraj ovu publikaciju:

Novak, Hrvoje; Vašak, Mario; Gulin, Marko; Lešić, Vinko;
Railway transport system energy flow optimization with integrated microgrid // Proceedings of the 12th International Conference on Modern Electrified Transport, MET 2015
Trogir, Hrvatska, 2015. str. 88-94 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Novak, H., Vašak, M., Gulin, M., Lešić, V. & (2015) Railway transport system energy flow optimization with integrated microgrid. U: Proceedings of the 12th International Conference on Modern Electrified Transport, MET 2015.
@article{article, author = {Novak, Hrvoje and Va\v{s}ak, Mario and Gulin, Marko and Le\v{s}i\'{c}, Vinko}, year = {2015}, pages = {88-94}, keywords = {Cost-optimal railway system control, Microgrid energy flow optimization, Model predictive control, Regenerative breaking energy utilization, Energy-efficient railway transport system}, title = {Railway transport system energy flow optimization with integrated microgrid}, keyword = {Cost-optimal railway system control, Microgrid energy flow optimization, Model predictive control, Regenerative breaking energy utilization, Energy-efficient railway transport system}, publisherplace = {Trogir, Hrvatska} }
@article{article, author = {Novak, Hrvoje and Va\v{s}ak, Mario and Gulin, Marko and Le\v{s}i\'{c}, Vinko}, year = {2015}, pages = {88-94}, keywords = {Cost-optimal railway system control, Microgrid energy flow optimization, Model predictive control, Regenerative breaking energy utilization, Energy-efficient railway transport system}, title = {Railway transport system energy flow optimization with integrated microgrid}, keyword = {Cost-optimal railway system control, Microgrid energy flow optimization, Model predictive control, Regenerative breaking energy utilization, Energy-efficient railway transport system}, publisherplace = {Trogir, Hrvatska} }




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