Multistage large-scale charging station planning for electric buses considering transportation network and power grid

Lin, Yuping; Zhang, Kai; Shen, Zuo‐Jun Max; Ye, Bin; Liu, Miao

doi:10.1016/j.trc.2019.08.009

Cited by 164 publications

(69 citation statements)

References 83 publications

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“…Furthermore, Lin et al, Wang et al, and An studied electric vehicle charging infrastructure planning and design [40][41][42]. Lajunen and Lipman studied lifecycle cost assessment [33].…”

Section: Alternative Bus Technologies and Electric Busesmentioning

confidence: 99%

Electric Bus Selection with Multicriteria Decision Analysis for Green Transportation

Hamurcu

Eren

2020

Sustainability

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Multicriteria decision-making tools are widely used in complex decision-making problems. There are also numerous points of decision-making in transportation. One of these decision-making points regards clean technology vehicle determination. Clean technology vehicles, such as electric buses, have some advantages compared to other technologies like internal combustion engine vehicles. Notably, electric vehicles emit zero tailpipe emissions, thereby ensuring cleaner air for cities and making these clean technologies preferable to other technologies, especially in highly populated areas for better air quality and more livable cities. In this study, we propose a multicriteria decision-making process using analytic hierarchy process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in the context of an electric bus in the center of Ankara. Six potential electric bus alternatives were evaluated under seven specific criteria. Overall, EV-2 electric buses outperformed other electric bus alternatives based on the chosen criteria. In addition, the stability of the results obtained under different scenarios using this method was established via sensitivity analysis.

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“…Furthermore, Lin et al, Wang et al, and An studied electric vehicle charging infrastructure planning and design [40][41][42]. Lajunen and Lipman studied lifecycle cost assessment [33].…”

Section: Alternative Bus Technologies and Electric Busesmentioning

confidence: 99%

Electric Bus Selection with Multicriteria Decision Analysis for Green Transportation

Hamurcu

Eren

2020

Sustainability

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“…He et al [27] developed a MIP model to optimize the locations of fast charging stations, battery capacity as well as the deployment of energy storage systems (ESS). Lin et al [28] proposed a spatial-temporal model to determine the locations and scales of fast charging station.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing Battery-Electric-Feeder Service and Wireless Charging Locations With Nested Genetic Algorithm

Chen

Chien

2020

IEEE Access

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The technology of dynamic wireless power transfer (DWPT) has been recognized as an effective way to recharge battery electric bus and overcome some drawbacks (e.g. high battery cost and limited service range) with opportunity charging. This study develops a mixed integer non-linear model to optimize a feeder bus transit powered by DWPT. The decision variables consist of bus route networks, service frequency, locations of DWPT devices and battery capacity. The objective is to minimize total cost, including the costs of charging devices, battery, operation and travel time. A tangible nested genetic algorithm (NGA) is developed to find the optimal solution. The computational efficiency of NGA is demonstrated through numerical comparisons to the solutions founded by LINGO and GA. It was found that with NGA the solution converges to an acceptable level faster than using LINGO and GA. A real-world bus network is employed to explore the relation between the minimized costs and decision variables. The result suggested that DWPT outperforms terminal charging technology in terms of the least total cost, and that the yielded total infrastructure cost with DWPT is 16.6% less than that with terminal charging technology. INDEX TERMS Electric buses, mixed non-linear programming, wireless charging, route optimization.

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“…It was necessary to define the relation of the higher harmonic current to its fundamental, for odd harmonics. The ratio was defined according to Equation (12).…”

Section: Of 13mentioning

confidence: 99%

“…This article analyses the impact of electric buses on the local distribution grid-in the nearest electric vicinity of the bus terminus with installed charging infrastructure. In previous studies in this field [8][9][10][11][12][13][14], the focus was placed on simulation models with a daily load curve, most often for the whole city. However, the authors noted that the results of simulation models (based on schedules data ) have not yet been compared with actual measurements carried out at such a charging point for electric buses.…”

Section: Introductionmentioning

confidence: 99%

Impact of Electric Bus Charging on Distribution Substation and Local Grid in Warsaw

et al. 2020

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Electric buses are increasingly appearing on the streets of cities around the world. Thus, it is necessary to consider the impact of their charging on the distribution system operation, especially near the charging point. This article presents the problems that may arise while new charging points are connected. Research was carried out on the existing charging point at Spartańska Street in Warsaw, which allowed to obtain daily bus charging profiles and voltage curves. The authors then proposed an exemplary model of a bus terminus with the designed infrastructure for charging buses, based on the assumptions of the public transport operator in Warsaw. The comparison of these two solutions was made and based on it, a methodology of calculating daily demand for any terminus was prepared. In addition, no problems with the power quality were found during the research. This allows us to state that the introduction of electric buses into the fleet of passenger carriers will have a minor impact on the operation of the power system in Warsaw.

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Multistage large-scale charging station planning for electric buses considering transportation network and power grid

Cited by 164 publications

References 83 publications

Electric Bus Selection with Multicriteria Decision Analysis for Green Transportation

Electric Bus Selection with Multicriteria Decision Analysis for Green Transportation

Optimizing Battery-Electric-Feeder Service and Wireless Charging Locations With Nested Genetic Algorithm

Impact of Electric Bus Charging on Distribution Substation and Local Grid in Warsaw

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