TY - GEN
T1 - Optimal energy management of a battery-supercapacitor based light rail vehicle using genetic algorithms
AU - Herrera, Victor Isaac
AU - Gaztanaga, Haizea
AU - Milo, Aitor
AU - Saez-De-Ibarra, Andoni
AU - Etxeberria-Otadui, Ion
AU - Nieva, Txomin
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/10/27
Y1 - 2015/10/27
N2 - In this paper an optimal energy management strategy (EMS) for a light rail vehicle with an onboard energy storage system combining battery (BT) and supercapacitor (SC) is presented. The optimal targets for the proposed EMS are obtained by an optimization process with multi-objective genetic algorithms (GA). The fitness functions are expressed in economic terms, and correspond to the costs related to the energy absorbed from the catenary as well as the BT and SC cycling cost. The case study selected is the tramway of Sevilla. The aim was to minimize the daily operating cost of the tramway taking into account the BT and SC degradation approach and fulfilling the performance of the tramway in the catenary-less zone. A sizing analysis is done taking as optimization variables the BT and SC sizing to evaluate the impact on the daily operating cost. A comparison between the optimal solutions and a base scenario is presented.
AB - In this paper an optimal energy management strategy (EMS) for a light rail vehicle with an onboard energy storage system combining battery (BT) and supercapacitor (SC) is presented. The optimal targets for the proposed EMS are obtained by an optimization process with multi-objective genetic algorithms (GA). The fitness functions are expressed in economic terms, and correspond to the costs related to the energy absorbed from the catenary as well as the BT and SC cycling cost. The case study selected is the tramway of Sevilla. The aim was to minimize the daily operating cost of the tramway taking into account the BT and SC degradation approach and fulfilling the performance of the tramway in the catenary-less zone. A sizing analysis is done taking as optimization variables the BT and SC sizing to evaluate the impact on the daily operating cost. A comparison between the optimal solutions and a base scenario is presented.
KW - EMS
KW - battery
KW - genetic algorithm
KW - hybrid energy storage system
KW - supercapacitor
KW - tramway
UR - https://www.scopus.com/pages/publications/84963502636
U2 - 10.1109/ECCE.2015.7309851
DO - 10.1109/ECCE.2015.7309851
M3 - Contribución a la conferencia
AN - SCOPUS:84963502636
T3 - 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015
SP - 1359
EP - 1366
BT - 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015
Y2 - 20 September 2015 through 24 September 2015
ER -