A multi-trip electric bus routing model considering equity during short-notice evacuations

Zhang, Jingwen; Zhang, Xiaoning

doi:10.1016/j.trd.2022.103397

Cited by 12 publications

(5 citation statements)

References 36 publications

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“…Pembahasan masalah distribusi multiperjalanan menggunakan kendaraan listrik (EVRPMT) masih jarang ditemukan. Zhang & Zhang [27] menerapkan model EVRPMT pada masalah evakuasi menggunakan bus listrik, Haryanto [28] membahas pemodelan last-mile delivery PT Pos Indonesia dalam bentuk EVRPMT dan penyelesaiannya menggunakan algoritme variable neighborhood descent, sedangkan Wang et al [29] mengimplementasikan algoritme hybrid variable neighborhood untuk menyelesaikan EVRPMT. Selain penggunaan kendaraan tunggal, implementasi algoritme heuristik tentu saja hanya menghasilkan solusi yang bersifat suboptimum.…”

Section: Pendahuluanunclassified

Optimalitas Rute pada Pengiriman Multiperjalanan dengan Armada Kendaraan Listrik Heterogen

Salsabilla,

Bakhtiar,

Hanum

2024

Jambura J. Math

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Electric vehicles are emerging as a key trend in sustainable mobility, mitigating emissions, and reducing dependence on fossil fuels. The challenge in optimizing route modeling lies in some limitations, such as battery range, charging time, and the diversity of electric vehicle types. This article explores the optimality of routes in a multiple-trip distribution system using a heterogeneous fleet of electric vehicles. The electric vehicle routing problem is formulated as a mixed-integer linear programming aiming to find the most cost-efficient optimal route. A notable feature of the model allows electric vehicle fleets to undertake additional travel to complete distribution tasks, i.e., multiple trips. The model is implemented in two illustrative examples involving the delivery of goods using homogeneous and heterogeneous electric vehicle fleets characterized by loading and battery capacities. Each case includes one depot, 8 and 10 customers, and 2 battery swapping stations, solved using the branch-and-bound method through Lingo 18.0. Simulation results indicate that battery capacity and the presence of battery swapping stations significantly influence the routes selection.

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Section: Pendahuluanunclassified

Optimalitas Rute pada Pengiriman Multiperjalanan dengan Armada Kendaraan Listrik Heterogen

Salsabilla,

Bakhtiar,

Hanum

2024

Jambura J. Math

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“…The research studies on resilience enhancement strategies for EVs are mainly divided into three phases according to the disaster timeline (1) pre-disaster recovery planning: an opportunity for communities to respond to disasters and manage vital recovery issues rapidly, for example, keeping the essential services up and running. There are several predisaster strategies such as on-site energy storage in charging stations [286] and deployment of off-grid charging stations integrated with RESs [287,288], (2) on-disaster strategies: the immediate execution of the emergency operations during a disaster to save lives, protect property, and satisfy basic human requirements through charging network during shortnotice mass evacuations [289,290] and resource allocation approaches with different priorities to supply the power for EVs and emergency services [291], (3) post-disaster strategies: designing effective strategies for restoration process (including three steps of start-up generation, reconfiguration, and load restorations) to restore the power system as fast as possible considering the Cold Load Pick-up (CLPU) phenomenon and EVs recharging demand [292]. CLPU phenomenon, more likely occurring after a disaster, is called when the load demand is greater than the regular system operation and is predicted by model-driven methods (challenge: information should be gathered from whole loads/ equipment) [293] and stochastic methods (limitations to collect the load performance such as EV loads) [294].…”

Section: Resilience Power Supply For Evsmentioning

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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“…They also consider vehicle capacity constraints, referred to as the Capacitated Vehicle Routing Problem (CVRP) [5], and account for uncertainties in evacuation demand, roads, and shelters, requiring Dynamic VRP (DVRP) methods [6]. Heuristic algorithms are commonly used to solve BEP models due to their computational complexity, including genetic [7] and greedy algorithms [8]. Some studies have developed exact algorithms like column generation [9] and branch-and-cut algorithms [10].…”

Section: Introductionmentioning

confidence: 99%

Research on Public Vehicle Evacuation Path Planning Model Based on Spatiotemporal Network

Zhang,

Lin,

Wang

et al. 2024

AETR

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This study aims to improve the efficiency of public vehicle evacuation during large-scale disasters by minimizing travel and waiting times for individuals and vehicles. To accomplish this, an S-curve behavior model was used to estimate evacuation demand, and a network model was developed to consider temporal and spatial factors of gathering points. A hybrid genetic algorithm and simulated annealing approach were utilized with an "enumerate then optimize" strategy and a step to temporarily retain optimal solutions for refinement. The effectiveness of the proposed model and algorithms was demonstrated in a case study of a typhoon evacuation in Chikan District, providing valuable insights for urban evacuation planning.

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A multi-trip electric bus routing model considering equity during short-notice evacuations

Cited by 12 publications

References 36 publications

Optimalitas Rute pada Pengiriman Multiperjalanan dengan Armada Kendaraan Listrik Heterogen

Optimalitas Rute pada Pengiriman Multiperjalanan dengan Armada Kendaraan Listrik Heterogen

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

Research on Public Vehicle Evacuation Path Planning Model Based on Spatiotemporal Network

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