Abstract
Optimizing to increase the utilization ratio of regenerative braking energy reduces energy consumption, and can be done without increasing the deviation of train running time in one circle. The latter entails that the train timetable is upheld, which guarantees that the demand for passenger transport services is met and the quality of services in the urban rail transit system is maintained. This study proposes a multi-objective optimization model for urban railways with timetable optimization to minimize the total energy consumption of trains while maximizing the quality of service. To this end, we apply the principles and ideas of calculus to reduce the power of the velocity in the train energy consumption model. This greatly simplifies the complexity of the optimization model. Then, considering the conflicting requirements of decision-makers, weight factors are added to the objective functions to reflect decision-makers’ preferences for energy-saving and the quality of service. We adopt the nondominated sorting genetic algorithm-II (NSGA-II) to solve the proposed model. A practical case study of the Yizhuang urban railway line in Beijing is conducted to verify the effectiveness of the proposed model and evaluate the advantages of the optimal energy saving timetable (OEST) in comparison to the optimal quality of service timetable (OQOST). The results showed that the OEST reduced total energy consumption by 8.72% but increased the deviation of trains running time in one circle by 728 s. The total energy consumption was reduced by 6.09%, but there was no increase in the deviation of train running time in one circle with the OQOST.
Highlights
Urban rail transit systems are playing an increasingly important role in the process of urban development
In a given urban rail transit system, more than 40% of the total electric energy is consumed in the train moving process, and this is a ected by driving strategy and utilization of regenerative braking energy [1]. e maximum operating speed di ers according to driving strategy and interval running times in urban railway, and this a ects the energy consumption of train traction
When multiple trains run consecutively in the sections served by two transformer substations, the regenerative braking energy is produced during the braking phase of the subsequent trains and consumed by the preceding train during the accelerating phase, simultaneously. erefore, optimizing the Journal of Advanced Transportation simultaneous moving process of urban trains can reduce any unnecessary energy-consumption in urban rail transit systems
Summary
Urban rail transit systems are playing an increasingly important role in the process of urban development. Bocharnikov et al [17] proposed a single train speed pro le optimization aggregation model, which considered both the tractive energy consumption and the utilization of regenerative braking energy. Rodrigo et al [18] designed an algorithm to solve issues in an energy-saving driving optimization model and improve the utilization ratio of regenerative braking energy. We integrate the concept of the regenerative braking energy into the optimization solutions for urban rail transit systems’ timetabling and present a simpli ed energy consumption calculation model. E calculation model for the optimization problem for train-following should minimize the total energy consumption of one train while increasing the simultaneous interaction moving the process of subsequent trains in order to improve the e ectively utilized regenerative braking energy ratio. Bocharnikov et al (2010) Rodrigo et al (2013) Tuyttens et al (2013) Sun et al (2019) Chevrier et al (2013) Wang and Goverde (2016)
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