scholarly journals An Electric Taxi Charging Station Planning Scheme Based on an Improved Destination Choice Method

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3781 ◽  
Author(s):  
Shi ◽  
Liu ◽  
Liao ◽  
Niu ◽  
Ibrahim ◽  
...  
Keyword(s):  
Public Transportation ◽  
Environmental Crisis ◽  
Chinese Government ◽  
Operation System ◽  
Charging Station ◽  
Fast Charging ◽  
Planning Scheme ◽  
Charging Stations ◽  
Ev Charging

The environmental crisis has prompted the development of electric vehicles as a green and environmentally friendly mode of travel. Since a reasonable layout of electric vehicle (EV) charging stations is the prerequisite for developing the EV industry, obtaining an optimal and efficient EV charging station planning scheme is a key issue. Although the Chinese government has carried out a plan to build EV charging piles in residential and working places, it cannot properly fulfill the task of matching the charging needs for public transportation vehicles such as electric taxis (ETs). How to evaluate the performance of fast charging stations (FCSs) and how to help find the optimal ET charging station planning scheme are new challenges. In this paper, an improved destination selection model is proposed to simulate the ET operation system and to help find the optimal ET charging station size with statistical analysis based on the charging need prediction. A numerical case study shows that the proposed method can address ET charging behavior well and can help to statistically determine the size of each ET charging station, which should satisfy the constraints on the preset proportion of the ET charging service requests.

scholarly journals Integration of Stationary Batteries for Fast Charge EV Charging Stations

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4638 ◽  
Author(s):  
Davide De Simone ◽  
Luigi Piegari
Keyword(s):  
Second Life ◽  
High Peak Power ◽  
Actual Distribution ◽  
Charging Station ◽  
Fast Charging ◽  
Multiple Vehicles ◽  
Charging Stations ◽  
And Control ◽  
Distribution Grids ◽  
Ev Charging

One of the biggest issues preventing the spread of electric vehicles is the difficulty in supporting distributed fast charging stations by actual distribution grids. Indeed, a significant amount of power is required for fast charging, especially if multiple vehicles must be supplied simultaneously. A possible solution to mitigate this problem is the installation of auxiliary batteries in the charging station to support the grid during high peak power demands. Nevertheless, the integration of high-voltage batteries with significant power is not a trivial task. This paper proposes the configuration and control of a converter to integrate batteries in a fast charging station. The proposed configuration makes it possible to decouple the grid power from the vehicle power using several auxiliary battery modules. At the same time, the converter makes it possible to draw different amounts of power from the battery modules, allowing the use of second life batteries performing in different ways. This paper discusses the design, control, and operation of the converter. Moreover, the effectiveness of the proposed control is shown by means of numerical results.

scholarly journals Analyzing the Fast-Charging Potential for Electric Vehicles with Local Photovoltaic Power Production in French Suburban Highway Network

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2428
Author(s):  
Abood Mourad ◽  
Martin Hennebel ◽  
Ahmed Amrani ◽  
Amira Ben Hamida
Keyword(s):  
Electric Vehicles ◽  
Production Costs ◽  
Heavy Trucks ◽  
Fast Charging ◽  
Highway Network ◽  
Data Driven Approach ◽  
Charging Stations ◽  
Ev Charging ◽  
Charging Demand

The need for deploying fast-charging stations for electric vehicles (EVs) is becoming essential in recent years. This need is justified by the increasing charging demand and supported by new charging technologies making EV chargers more efficient. In this paper, we provide a survey on EV fast-charging models and introduce a data-driven approach with an optimization model for deploying EV fast-chargers for both electric vehicles and heavy trucks traveling through a network of suburban highways. This deployment aims at satisfying EV charging demands while respecting the limits imposed by the electric grid. We also consider the availability of local photovoltaic (PV) farm and integrate its produced power to the proposed charging network. Finally, through a case study on Paris-Saclay area, we provide locations for EV charging stations and analyze the benefits of integrating PV power at different prices, production costs and charging capacities. The obtained results also suggest potential enhancements to the charging network in order to accommodate the increasing charging demand for EVs in the future.

scholarly journals Modeling and Control of a Multiport Converter based EV Charging Station with PV and Battery

2021 ◽  
Vol 7 (03) ◽  
pp. 95-100
Author(s):  
D Dhana Prasad and R Ramprasanth
Keyword(s):  
Power Generation ◽  
Voltage Sag ◽  
Battery Energy Storage ◽  
Charging Station ◽  
Multiport Converter ◽  
Fast Charging ◽  
Battery Energy ◽  
Charging Stations ◽  
Ev Charging ◽  
Pv Power Generation

As an environmental friendly vehicle, the increasing number of electrical vehicles (EVs) leads to a pressing need of widely distributed charging stations, especially due to the limited on-board battery capacity. However, fast charging stations, especially super-fast charging stations may stress power grid with potential overload at peaking time, sudden power gap and voltage sag. This project discusses the implementation and modeling of space vector modulation to multiport converter based EV charging station integrated with PV power generation, and battery energy storage system. In this paper, the control scheme and combination of PV power generation, EV charging station, and battery energy storage (BES) provides improved stabilization including power gap balancing, peak shaving and valley filling, and voltage sag compensation. As a result, the influence on power grid is reduced due to the matching between daily charging demand and adequate daytime PV generation. Simulation results are presented to confirm the benefits at different modes of this proposed multiport EV charging circuits with the PV-BES configuration with SVM technique. Furthermore, SiC devices are employed to the EV charging station to further improve the efficiency.

scholarly journals Partial Power Processing Based Converter for Electric Vehicle Fast Charging Stations

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 260
Author(s):  
Jon Anzola ◽  
Iosu Aizpuru ◽  
Asier Arruti
Keyword(s):  
Electric Vehicle ◽  
Power Converters ◽  
Power Ratio ◽  
Charging Station ◽  
Fast Charging ◽  
Full Power ◽  
Processing Architectures ◽  
Charging Stations ◽  
Fast Charging Station ◽  
Partial Power Processing

This paper focuses on the design of a charging unit for an electric vehicle fast charging station. With this purpose, in first place, different solutions that exist for fast charging stations are described through a brief introduction. Then, partial power processing architectures are introduced and proposed as attractive strategies to improve the performance of this type of applications. Furthermore, through a series of simulations, it is observed that partial power processing based converters obtain reduced processed power ratio and efficiency results compared to conventional full power converters. So, with the aim of verifying the conclusions obtained through the simulations, two downscaled prototypes are assembled and tested. Finally, it is concluded that, in case galvanic isolation is not required for the charging unit converter, partial power converters are smaller and more efficient alternatives than conventional full power converters.

scholarly journals Blockchain-Enabled Charging Right Trading Among EV Charging Stations

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3922 ◽  
Author(s):  
Ruijiu Jin ◽  
Xiangfeng Zhang ◽  
Zhijie Wang ◽  
Wengang Sun ◽  
Xiaoxin Yang ◽  
...  
Keyword(s):  
Power Systems ◽  
Power Transmission ◽  
Charging Station ◽  
Double Auctions ◽  
Incentive Compatible ◽  
Trading Mechanism ◽  
Charging Stations ◽  
Trading Simulation ◽  
Ev Charging ◽  
Charging Demand

Increasing penetration of electric vehicles (EVs) gives rise to the challenges in the secure operation of power systems. The EV charging loads should be distributed among charging stations in a fair and incentive-compatible manner while ensuring that power transmission and transformation facilities are not overloaded. This paper first proposes a charging right (or charging power ration) trading mechanism and model based on blockchain. Considering all kinds of random factors of charging station loads, we use Monte Carlo modeling to determine the charging demand of charging stations in the future. Based on the charging demand of charging stations, a charging station needs to submit the charging demand for a future period. The blockchain first distributes initial charging right in a just manner and ensures the security of facilities. Given that the charging urgency and elasticity differences vary by charging stations, all charging stations then proceed with double auction and peer-to-peer (P2P) transaction of charging right. Bids and offers are cleared via double auctions if bids are higher than offers. The remaining bids and offers are cleared via the P2P market. Then, this paper designs the charging right allocation and trading platform and smart contract based on the Ethernet blockchain to ensure the safety of the distribution network (DN) and the transparency and efficiency of charging right trading. Simulation results based on the Ethereum private blockchain show the fairness and efficiency of the proposed mechanism and the effectiveness of the method and the mechanism.

Study on Multi-Objective Optimal Planning of Electric Vehicle Charging Stations with Alternative Sites

2014 ◽  
Vol 1070-1072 ◽  
pp. 1656-1663 ◽  
Author(s):  
Guang Chen ◽  
Zhuo Ran Song ◽  
Pan Dai ◽  
Yang Liu ◽  
Yong Ma
Keyword(s):  
Calculation Method ◽  
Pareto Front ◽  
Economic Costs ◽  
Multi Objective ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Proposed Model ◽  
Alternative Sites ◽  
Charging Stations

Planning of charging stations for electric vehicles (EVs) is the foundation of EV’s promotion and development. A novel multi-objective optimization model is proposed in this paper to better locate and size the charging stations for EVs from given alternative sites. Economic costs of charging station and the time wasted in waiting for charging are minimized in the model. The capacity constraints of the charging stations are included as main constraints. Pareto front is used to compare and estimate the practical value of the current substation locating and sizing plans. A calculation method based on rasterization and Voronoi diagram is proposed to make it clear where the jurisdiction of each charging station ends. Finally, the proposed model and calculation method are verified using case study.

scholarly journals An Orderly EV Charging Scheduling Method Based on Deep Learning in Cloud-Edge Collaborative Environment

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Jiayong Zhong ◽  
Xiaofu Xiong
Keyword(s):  
Distribution Network ◽  
Operating Cost ◽  
Safe Operation ◽  
Charging Station ◽  
Collaborative Environment ◽  
Scheduling Method ◽  
Load Peak ◽  
Residential Distribution ◽  
Charging Stations ◽  
Ev Charging

The rapid increase of the number of electric vehicles (EVs) has posed great challenges to the safe operation of the distribution network. Therefore, this paper proposes an ordered charging scheduling method for EV in the cloud-edge collaborative environment. Firstly, the uncertainty of user load demands, charging station requirements, and renewable outputs are taken into consideration. Correspondingly, the residential distribution points, EV charging stations, and renewable plants are regarded as the edge nodes. Then, the load demands and renewable outputs are predicted by a model combined with the convolutional neural network and deep belief network (CNN-DBN). Secondly, the power supply plans for charging stations are determined at the cloud side aiming at minimizing the operating cost of the distribution network via collecting the forecasting results. Finally, the charging station formulates the personalized charging scheduling strategies according to EV’s charging plans and the charging demands in order to follow the supply plan. The simulation results show that the load peak-to-valley difference and standard deviation of the proposed algorithm are reduced by 30.13% and 16.94%, respectively, compared with the disorderly charging and discharging behavior, which has verified the effectiveness and feasibility of the proposed method.

scholarly journals An Optimization Approach Considering User Utility for the PV-Storage Charging Station Planning Process

Processes ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 83
Author(s):  
Yingxin Liu ◽  
Houqi Dong ◽  
Shengyan Wang ◽  
Mengxin Lan ◽  
Ming Zeng ◽  
...  
Keyword(s):  
Optimization Model ◽  
Planning Process ◽  
Capacity Allocation ◽  
Mixed Integer ◽  
Maintenance Cost ◽  
Single Level ◽  
Charging Station ◽  
Linearization Methods ◽  
Planning Scheme ◽  
Charging Stations

Based on the comprehensive utilization of energy storage, photovoltaic power generation, and intelligent charging piles, photovoltaic (PV)-storage charging stations can provide green energy for electric vehicles (EVs), which can significantly improve the green level of the transportation industry. However, there are many challenges in the PV-storage charging station planning process, making it theoretically and practically significant to study approaches to planning. This paper promotes a bi-level optimization planning approach for PV-storage charging stations. First, taking PV-storage charging stations and EV users as the upper- and lower-level problems, respectively, during the planning process, a bi-level optimization model for PV-storage charging stations considering user utility is established for capacity allocation and user behavior-based electricity pricing. Second, the model is converted into a single-level mixed-integer linear programming model using the piecewise linear utility function, Karush–Kuhn–Tucker (KKT) conditions, and linearization methods. Finally, to verify the validity of the proposed model and the solution algorithm, a commercial solver is used to solve the optimization model and obtain the planning scheme. The results show that the proposed bi-level optimization model can provide a more economical and reasonable planning scheme than the single-level model, and can reduce the investment cost by 8.84%, operation and maintenance cost by 13.23%, and increase net revenue by 5.11%.

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