2015 IEEE Energy Conversion Congress and Exposition (ECCE) 2015
DOI: 10.1109/ecce.2015.7309851
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Optimal energy management of a battery-supercapacitor based light rail vehicle using genetic algorithms

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Cited by 34 publications
(12 citation statements)
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“…In [176,177], a cost optimization strategy related to the daily operational cost for a light rail vehicle system is proposed. For achieving this, a multi-objective genetic algorithm (GA) is implemented that considers the optimization of the degradation cost of the HESS that is aimed to prolong its replacement period and the investment costs.…”
Section: Optimal Storage Sizing and Improved Storage Efficiencymentioning
confidence: 99%
“…In [176,177], a cost optimization strategy related to the daily operational cost for a light rail vehicle system is proposed. For achieving this, a multi-objective genetic algorithm (GA) is implemented that considers the optimization of the degradation cost of the HESS that is aimed to prolong its replacement period and the investment costs.…”
Section: Optimal Storage Sizing and Improved Storage Efficiencymentioning
confidence: 99%
“…The actual voltage u sc and SOC of the SCs SOC sc are defined as Equations (20) and (21). The SOC sc and i sc are subject to Equations (22) and (23).…”
Section: On-board Hybrid Power Plant Modelmentioning
confidence: 99%
“…However, such solving techniques are generally complex to implement and quite time-demanding. Consequently, heuristic approaches have been also proposed, like genetic algorithms and particle swarm optimization, which achieve sub-optimal solutions but faster and with less computational efforts [56][57][58]. As a result, very complex and sophisticated cost functions can be considered, which can account for many system constraints and goals.…”
Section: Hess Management and Controlmentioning
confidence: 99%