On Charging Scheduling Optimization for a Wirelessly Charged Electric Bus System

Yang, Chao; Lou, Wei; Yao, Junmei; Xie, Shengli

doi:10.1109/tits.2017.2740329

Cited by 69 publications

(27 citation statements)

References 38 publications

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“…Alinia et al (2019) [17] developed a social welfare maximization problem for online EV charge scheduling with the charging station capacity and uncertain EV arrivals, considering the on-arrival commitment and group-strategy-proofness. Yang et al [18] investigated the charge scheduling optimization problem for a wirelessly charged electric bus system, with the objective to minimize the operating electricity cost. Zhang et al [19] investigated delay-optimal charge scheduling for a charging station under long-term cost constraint.…”

Section: Notation Descriptionmentioning

confidence: 99%

Online EV Charge Scheduling Based on Time-of-Use Pricing and Peak Load Minimization: Properties and Efficient Algorithms

Lin

Liu

et al. 2022

IEEE Trans. Intell. Transport. Syst.

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Section: Notation Descriptionmentioning

confidence: 99%

Online EV Charge Scheduling Based on Time-of-Use Pricing and Peak Load Minimization: Properties and Efficient Algorithms

Lin

Liu

et al. 2022

IEEE Trans. Intell. Transport. Syst.

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“…Another exciting approach considers the scheduling of a wirelessly charged EB system, as presented in [102]. For this, an optimal methodology that minimizes system electricity costs was developed, considering the characteristics of the WCS.…”

Section: Electric Bus (Eb) Approachesmentioning

confidence: 99%

Electric Vehicles for Public Transportation in Power Systems: A Review of Methodologies

et al. 2019

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The market for electric vehicles (EVs) has grown with each year, and EVs are considered to be a proper solution for the mitigation of urban pollution. So far, not much attention has been devoted to the use of EVs for public transportation, such as taxis and buses. However, a massive introduction of electric taxis (ETs) and electric buses (EBs) could generate issues in the grid. The challenges are different from those of private EVs, as their required load is much higher and the related time constraints must be considered with much more attention. These issues have begun to be studied within the last few years. This paper presents a review of the different approaches that have been proposed by various authors, to mitigate the impact of EBs and ETs on the future smart grid. Furthermore, some projects with regard to the integration of ETs and EBs around the world are presented. Some guidelines for future works are also proposed.

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“…They optimized the charging sequences on one fast charging station in the city of Beijing. Yang et al analyze scheduling bus fleets based on flash wireless charging concept [15]. These studies are not applicable to the centralized depot concept with regular charging used in Hamburg.…”

Section: Introductionmentioning

confidence: 99%

Charging Schedule for Load Peak Minimization on Large-Scale Electric Bus Depots

2019

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The city of Hamburg has decided to electrify its bus fleets. The two public transportation companies in this city expect to operate up to 1500 buses by 2030. In order to accomplish this ambitious goal, both companies need to build an appropriate charging infrastructure. They have both decided to implement the centralized depot charging concept. Buses can therefore charge only at the depot and do not have the possibility for opportunity charging at intermediate stations. The load profile of such a bus depot is highly dependent on the charging schedule of buses. Without an intelligent scheduling system, the buses charge on demand as soon as they arrive to the depot. This can lead to an unevenly distributed load profile with high load peaks, which is problematic for the local grid as well as for the equipment dimensioning at the depot. Charging scheduling on large-scale bus depots is a relatively new and poorly researched topic. This paper addresses the issue and proposes two algorithms for charging scheduling on large-scale bus depots with the goal to minimize the peak load. The schedules created with the proposed algorithms were both tested and validated in the Bus Depot Simulator, a cosimulation platform used for bus depot simulations.

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On Charging Scheduling Optimization for a Wirelessly Charged Electric Bus System

Cited by 69 publications

References 38 publications

Online EV Charge Scheduling Based on Time-of-Use Pricing and Peak Load Minimization: Properties and Efficient Algorithms

Online EV Charge Scheduling Based on Time-of-Use Pricing and Peak Load Minimization: Properties and Efficient Algorithms

Electric Vehicles for Public Transportation in Power Systems: A Review of Methodologies

Charging Schedule for Load Peak Minimization on Large-Scale Electric Bus Depots

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