Optimal siting and sizing of electric taxi charging stations considering transportation and power system requirements

Clairand, Jean-Michel; González, Mario; Kumar, Rajesh; Vyas, Shashank; Escrivá-Escrivá, Guillermo

doi:10.1016/j.energy.2022.124572

Cited by 24 publications

(3 citation statements)

References 44 publications

(43 reference statements)

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“…Given that taxis mainly operate during the daytime, the assumption is that they can be completely charged overnight, starting the workday with a 100% SOC [44].…”

Section: B Preliminary Assumptionmentioning

confidence: 99%

Electrifying Urban Transportation: A Comparative Study of Battery Swap Stations and Charging Infrastructure for Taxis in Chicago

Borgosano,

Martini,

Longo

et al. 2024

IEEE Access

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In recent years, the Electric Vehicles (EVs) industry has experienced rapid growth, driven by advancements in battery technology, environmental awareness, and government incentives. However, traditional charging infrastructure's limited availability and long charging times pose significant challenges, especially for long-distance travel and public service vehicles like taxis, buses, and law enforcement vehicles. This work explores the innovative concept of Battery Swap Stations (BSSs), an emerging technology poised to transform the EV charging landscape. It specifically focuses on electric taxis operating in Chicago's urban environment, highlighting the substantial benefits this technology can offer. BSSs demonstrated to dramatically reduce charging times, improving taxi service efficiency and increasing revenue potential. Instead, conductive charging impacts the working time of taxis across all case studies (as observed in the Level 2 charger scenario) While BSS technology has its drawbacks, such as optimal location challenges and battery management complexities, it has the potential to significantly enhance service quality. Additionally, these stations hold the promise of not only increasing urban transportation system efficiency but also contributing to their sustainability.

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“…Given that taxis mainly operate during the daytime, the assumption is that they can be completely charged overnight, starting the workday with a 100% SOC [44].…”

Section: B Preliminary Assumptionmentioning

confidence: 99%

Electrifying Urban Transportation: A Comparative Study of Battery Swap Stations and Charging Infrastructure for Taxis in Chicago

Borgosano,

Martini,

Longo

et al. 2024

IEEE Access

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show abstract

“…Recent studies have proposed a two‐stage screening approach taking into account environmental factors and the service radius of PEV charging stations. Additionally, in [37], an optimal siting and sizing of charging stations for electric taxis have taken into account the requirements of the electric network and transportation system. In addition, special attention has been paid to the needs of taxi drivers.…”

Section: Introductionmentioning

confidence: 99%

New optimal planning strategy for plug‐in electric vehicles charging stations in a coupled power and transportation network

Keleshteri

Niknam

Ghiasi

et al. 2023

The Journal of Engineering

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The use of plug-in electric vehicles (PEV) and their developing technology can create new challenges to the smart power system. The type, method, and time of charging electric vehicles are also other issues. Allocating and determining the optimal capacity of electric vehicle charging stations (EVCS) is related to the technical requirements of the distribution network. This is economically important for the construction of charging stations. This paper proposes a new approach for optimal siting and sizing of PEV charging stations in a coupled electrical and transportation network. This work presents the problem from a techno-economic point of view of the electrical network as a multi-objective problem with the objectives of simultaneously reducing the cost of building EVCSs and active power losses. The Pareto method is used to solve the problem and to display optimal points. In order to carry out the simulation, the proposed method is tested on a case study of the standard IEEE 37-bus network with a 25-node transport system and the proposed solution in the subject environment. The Floyd-Warshall method is utilized to determine the shortest travel routes for PEVs. The obtained results confirm the effectiveness of the optimal planning of PEV charging stations.

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“…These include relatively confined assessments Energies 2023, 16, 2189 2 of 18 of utility grid impacts of EV charging based on the IEEE 123-bus electricity distribution and 25-node transportation networks, finding that the proper siting and sizing of vehicle fast charging systems can be important for grid operational performance [10]. Other efforts have focused on planning for fast charging implementation with consideration of the fleet demands and EV charging patterns, as well as some degree of grid operational awareness, for both private fleet and taxi applications [11][12][13][14]. These previous efforts were often applied on a relatively small scale, or if at a larger scale were applied for relatively low EV adoption rates [10,[15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Architecture for Co-Simulation of Transportation and Distribution Systems with Electric Vehicle Charging at Scale in the San Francisco Bay Area

et al. 2023

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This work describes the Grid-Enhanced, Mobility-Integrated Network Infrastructures for Extreme Fast Charging (GEMINI) architecture for the co-simulation of distribution and transportation systems to evaluate EV charging impacts on electric distribution systems of a large metropolitan area and the surrounding rural regions with high fidelity. The current co-simulation is applied to Oakland and Alameda, California, and in future work will be extended to the full San Francisco Bay Area. It uses the HELICS co-simulation framework to enable parallel instances of vetted grid and transportation software programs to interact at every model timestep, allowing high-fidelity simulations at a large scale. This enables not only the impacts of electrified transportation systems across a larger interconnected collection of distribution feeders to be evaluated, but also the feedbacks between the two systems, such as through control systems, to be captured and compared. The findings are that with moderate passenger EV adoption rates, inverter controls combined with some distribution system hardware upgrades can maintain grid voltages within ANSI C.84 range A limits of 0.95 to 1.05 p.u. without smart charging. However, EV charging control may be required for higher levels of charging or to reduce grid upgrades, and this will be explored in future work.

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Optimal siting and sizing of electric taxi charging stations considering transportation and power system requirements

Cited by 24 publications

References 44 publications

Electrifying Urban Transportation: A Comparative Study of Battery Swap Stations and Charging Infrastructure for Taxis in Chicago

Electrifying Urban Transportation: A Comparative Study of Battery Swap Stations and Charging Infrastructure for Taxis in Chicago

New optimal planning strategy for plug‐in electric vehicles charging stations in a coupled power and transportation network

Architecture for Co-Simulation of Transportation and Distribution Systems with Electric Vehicle Charging at Scale in the San Francisco Bay Area

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