Robust location and sizing of electric vehicle battery swapping stations considering users’ choice behaviors

Zhang, Ningwei; Zhang, Yuli; Ran, Lun; Liu, Peng; Guo, Yang

doi:10.1016/j.est.2022.105561

Cited by 20 publications

(9 citation statements)

References 53 publications

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“…The research investigated the grid interaction potential with centralized battery stations, such as multi-energy resource integration and battery-to-grid management [325,326], EV route planning [327,328], and battery dispatch route planning [329,330], (2) distributed battery swapping station: this type of charging stations can lessen battery transportation costs and power grid load in comparison to the centralized battery swapping stations. Researchers have investigated the closed-loop battery inventory system, placement, and sizing of distributed battery swapping stations [331,332], optimal operation of battery swapping stations with PV systems [333] considering battery degradation [334], planning and investment [335], real-time operation management [336], and (3) micro-battery swapping stations: connected to micro-grids and supplied by RESs such as PV and wind turbines, and comprising battery storage system, battery charging system, converter devices, control equipment of battery-to-battery (B2B) and battery-to-grid (B2G) energies. Researchers paid more attention to the optimal energy Fig.…”

Section: Grid-coordinated Operation Of Charging Stationsmentioning

confidence: 99%

Power System Resilience: The Role of Electric Vehicles and Social Disparities in Mitigating the US Power Outages

Loni,

Asadi

2024

Smart Grids and Energy

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Electrical power systems with their components such as generation, network, control and transmission equipment, management systems, and electrical loads are the backbone of modern life. Historical power outages caused by natural disasters or human failures show huge losses to the economy, environment, healthcare, and people’s lives. This paper presents a systematic review on three interconnected dimensions of (1) electric power system resilience (2) the electricity supply for/through Electric Vehicles (EVs), and (3) social vulnerability to power outages. This paper contributes to the existing literature and research by highlighting the importance of considering social vulnerability in the context of power system resilience and EVs, providing insights into addressing inequities in access to backup power resources during power outages. This paper first reviews power system resilience focusing on qualitative and quantitative metrics, evaluation methods, and planning and operation-based enhancement strategies for electric power systems during prolonged outages through microgrids, energy storage systems (e.g., battery, power-to-gas, and hydrogen energy storage systems), renewable energy sources, and demand response schemes. In addition, this study contributes to in-depth examination of the evolving role of EVs, as a backup power supply, in enhancing power system resilience by exploring the EV applications such as vehicle-to-home/building, grid-to-vehicle, and vehicle-to-vehicle or the utilization of second life of EV batteries. Transportation electrification has escalated the interdependency of power and transportation sectors, posing challenges during prolonged power outages. Therefore, in the next part, the resilient strategies for providing electricity supply and charging services for EVs are discussed such as deployments of battery swapping technology and mobile battery trucks (MBTs), as well as designing sustainable off-grid charging stations. It offers insights into innovative solutions for ensuring continuous electricity supply for EVs during outages. In the section on social vulnerability to power outages, this paper first reviews the most socioeconomic and demographic indicators involved in the quantification of social vulnerability to power outages. Afterward, the association between energy equity on social vulnerability to power outages is discussed such as inequity in backup power resources and power recovery and restoration. The study examines the existing challenges and research gaps related to the power system resilience, the electric power supply for/through EVs, social vulnerability, and inequity access to resources during extended power outages and proposes potential research directions to address these gaps and build upon future studies.

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Section: Grid-coordinated Operation Of Charging Stationsmentioning

confidence: 99%

Power System Resilience: The Role of Electric Vehicles and Social Disparities in Mitigating the US Power Outages

Loni,

Asadi

2024

Smart Grids and Energy

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“…i.e., Ref. [29] provided robust locations and the sizing of electric vehicle battery swapping stations, considering users' choice behaviors.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In the ELRP, lower electric consumption often helps to reduce transportation costs and carbon emissions, but this is often in conflict with high profits or order fill rate, which makes it difficult to solve this complex multi-objective problem [1,8,26]. To reduce the difficulty of solving, another approach is to decompose the complex ELRP problem into several sub-problems to be solved separately, i.e., the ELRP can be divided into the EFLP [29] and EVRP [30]. The EFLP is one of the sub-problems in the ELRP and is to decide the optimal location in the network, especially the electric charging stations [2,3,[15][16][17] or the battery swapping stations [12,29].…”

Section: Literature Reviewmentioning

confidence: 99%

“…To reduce the difficulty of solving, another approach is to decompose the complex ELRP problem into several sub-problems to be solved separately, i.e., the ELRP can be divided into the EFLP [29] and EVRP [30]. The EFLP is one of the sub-problems in the ELRP and is to decide the optimal location in the network, especially the electric charging stations [2,3,[15][16][17] or the battery swapping stations [12,29]. In the EVRP, a single vehicle is required to achieve the maximum profit and minimum cost with constraints that the route duration is not more than a given threshold.…”

Section: Literature Reviewmentioning

confidence: 99%

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An Artificial Physarum polycephalum Colony for the Electric Location-Routing Problem

Cai,

Wang,

et al. 2023

Sustainability

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Electric vehicles invented for environmental sustainability are prone to adverse impacts on environmental sustainability due to the location and construction of their charging facilities. In this article, an artificial Physarum polycephalum colony is proposed to solve the novel challenging problem. First, the electric location-routing problem is established as a multi-objective network panning model with electric constraints to provide the optimal charging infrastructure layout, electric vehicle maintenance costs, and traffic conditions. The electric facility location problem and vehicle routing problem are integrated by integer programming, which considers the total distance, total time, total cost, total number of electric vehicles, and order fill rate. Second, an artificial Physarum polycephalum colony is introduced to solve the complex electric location-routing problem and includes the two basic operations of expansion and contraction. In the expansion operation, the optimal parent individuals will generate more offspring individuals, so as to expand the population size. In the contraction operation, only individuals with high fitness will be selected to survive through a merge sorting algorithm, resulting in a decrease in population size to the initial value. Through the iterative computing of the two main operations, the proposed artificial Physarum polycephalum colony can finally find the optimal solution to the objective function. Third, a benchmark test is designed for the electric location-routing problem by extracting the real road network from Tokyo, and the experimental results prove the effectiveness and applicability of this work.

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“…Many studies have addressed the location problem of BSS by employing mathematical modeling, as described in [12][13][14][15][16][17]. In terms of BSS operational aspects, Amiri, et al [18] proposed a battery scheduling strategy for BSS, considering location and vehicle priority.…”

mentioning

confidence: 99%

Location Selection of Battery Swap Station using Fuzzy MCDM Method: A Case Study in Indonesia

Maghfiroh,

Kavirathna

2023

JTI

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The rise of Electric Vehicles (EVs), supported by battery swap systems, brings various advantages, including reduced waiting times, lower upfront costs, and alleviating range anxiety. Battery Swap Stations (BSS) enhance green transportation by providing convenient options for EV users, especially in regions with limited fast-charging infrastructure. Many EVs, especially two-wheelers, need battery recharging after reaching their driving range. BSS availability can eliminate charging inconveniences for busy EV drivers. However, selecting BSS locations is often challenging due to budget constraints. This study aims to understand the criteria for selecting BSS locations in Indonesia. Potential location alternatives were identified using a fuzzy multi-criteria decision-making approach and input from government officials and industry experts. Factors like driving range, EV capacity, and budget availability were considered in determining the order of BSS establishment. The study found that technological and social aspects were the top criteria, suggesting that BSS development should prioritize established locations like mini markets and petrol stations.

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Robust location and sizing of electric vehicle battery swapping stations considering users’ choice behaviors

Cited by 20 publications

References 53 publications

Power System Resilience: The Role of Electric Vehicles and Social Disparities in Mitigating the US Power Outages

Power System Resilience: The Role of Electric Vehicles and Social Disparities in Mitigating the US Power Outages

An Artificial Physarum polycephalum Colony for the Electric Location-Routing Problem

Location Selection of Battery Swap Station using Fuzzy MCDM Method: A Case Study in Indonesia

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