Pricing Based Charging Navigation Scheme for Highway Transportation to Enhance Renewable Generation Integration

Ding, Zhaohao; Zhang, Yu; Tan, Wenrui; Pan, Xuyang; Tang, Henglin

doi:10.1109/tia.2022.3203960

Cited by 23 publications

(3 citation statements)

References 35 publications

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“…The strategies introduced in [67] and [68] explore optimal pricing and routing mechanisms in public charging stations, focusing on efficient demand management and minimizing construction and travel costs. While, other studies like [69], [70], and [71] develop strategies for reducing operational and customer costs, enhancing renewable energy integration, and improving charging utility and network stability, employing methods like bi-level graph reinforcement learning and pricing-based navigation schemes.…”

Section: • Strategies For Cost Reduction and Network Stabilitymentioning

confidence: 99%

Future Trends in Smart Green IoV: Vehicle-to-Everything in the Era of Electric Vehicles

Aldhanhani,

Abraham,

Hamidouche

et al. 2024

IEEE Open J. Veh. Technol.

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The electrification of the transportation sector is an important step to ensure a sustainable system. It offers a promising solution to reduce oil consumption, decrease Greenhouse Gas (GHG) emissions, improve air quality, increase transportation sector efficiency, and it can play an important role in the integration of renewable energy resources into the electric grid. However, one of the biggest bottlenecks of the electrification of vehicles is the requirement for various charging infrastructure options. Three technologies have emerged as game-changers: Dynamic Wireless Charging (DWC), Battery Swapping Stations, and Fast Charging Stations (FCSs). These advancements have the potential to increase the adoption of Electric Vehicles (EVs) by addressing critical challenges such as range anxiety and charging downtime issues of EV users. The primary focus of this work is on FCS, which currently represents the most readily available option in the market. To ensure the optimal utilization of this charging infrastructure, it is important to address the challenges related to routing EVs to the nearest FCS that can meet the EV charging requirements, such as wait time, charging duration and charging cost. Vehicle-to-Everything (V2X) and the Internet of Vehicles (IoV) will play a critical role in enhancing EV routing to the FCS. Additionally, the coordination of EV charging demand is essential to achieve grid load balancing and prevent grid overload. The main focus of this paper is to present the vision and future trends of Smart Green IoV in the era of electric vehicles for sustainable V2X connectivity, grid integration, vehicular networking, data security, and services.INDEX TERMS Internet of vehicles, plug-in charging, wireless charging, electric vehicles, battery swapping stations, V2X technology, machine learning, power grids, sustainability.

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Section: • Strategies For Cost Reduction and Network Stabilitymentioning

confidence: 99%

Future Trends in Smart Green IoV: Vehicle-to-Everything in the Era of Electric Vehicles

Aldhanhani,

Abraham,

Hamidouche

et al. 2024

IEEE Open J. Veh. Technol.

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“…With the depletion of fossil energy and increasingly serious environmental problems, carbon reduction from both the energy and transport sectors is an important way to help achieve carbon neutrality [1,2]. Electric vehicles (EV) and solar energy-powered expressways are considered a promising approach for sustainable development in both the energy and transport sectors [3][4][5]. In recent years, the rapid growth of EV ownership has led to an increasing demand for charging on expressways.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Expressway Microgrid Construction Mode and Capacity Configuration Considering Carbon Trading

Yao,

Bai,

et al. 2023

Energies

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An expressway microgrid can make full use of renewable resources near the road area and enable joint carbon reduction in both transportation and energy sectors. It is important to research the optimal construction mode and capacity configuration method of expressway microgrid considering the carbon trading and carbon offset mechanism. This paper establishes a design model for an expressway microgrid considering the operating features of each component in the microgrid under two patterns of grid-connected/islanded and two types of AC/DC. The goal of the proposed model is to minimize the annualized comprehensive cost, which includes the annualized investment cost, operational cost, and carbon trading cost. The model designates the optimal construction mode of an expressway microgrid, i.e., grid-connected or islanded, AC or DC. As a mixed integer nonlinear programming (MINLP) problem, the proposed model can be solved in a commercial solver conveniently, such as GUROBI and CPLEX. The validity and practicality of the proposed model have been demonstrated through case studies in several different application scenarios, which also demonstrate the necessity of considering carbon trading mechanisms in the design model.

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“…For the collaborative optimization problem of transportation and distribution networks, efficient embedded charging facilities [3], setting road congestion charges [4], and setting fast charging prices [5] can be used on the traffic network side to guide users in their travel paths and charging choices. On the distribution network side, dispatching distributed generation output [6] and dispatching reactive compensation equipment [7] can be used to strengthen the control ability of power flow [8], alleviate voltage out of range, and reduce energy imbalance [9]. The real-time jam determines the spatiotemporal distribution of electric vehicles and affects the power flow of the distribution network through charging stations.…”

Section: Introductionmentioning

confidence: 99%

Research on the Collaborative Optimization of the Power Distribution Network and Traffic Network Based on Dynamic Traffic Allocation

Zhang¹,

Chen²,

Wang

et al. 2023

Energies

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With the increasing penetration rate of electric vehicles, the spatiotemporal coupling relationship between the power distribution network and traffic network is stronger than ever before. Under the dynamic wireless charging mode, traffic jam charging is introduced and the dynamic loading process of traffic flow is described using a cellular transmission model. The charging load is related to traffic flow and serves as a bond between the power distribution network and traffic network. The traffic flow achieves balanced allocation under dynamic user equilibrium conditions, and cooperatively optimizes the power flow of the power distribution network in conjunction with charging loads. Numerical analysis shows that this model can accurately depict the congestion situation during peak travel periods, and alleviate traffic congestion and distribution network voltage out of range.

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Pricing Based Charging Navigation Scheme for Highway Transportation to Enhance Renewable Generation Integration

Cited by 23 publications

References 35 publications

Future Trends in Smart Green IoV: Vehicle-to-Everything in the Era of Electric Vehicles

Future Trends in Smart Green IoV: Vehicle-to-Everything in the Era of Electric Vehicles

Optimization of Expressway Microgrid Construction Mode and Capacity Configuration Considering Carbon Trading

Research on the Collaborative Optimization of the Power Distribution Network and Traffic Network Based on Dynamic Traffic Allocation

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