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.

scholarly journals Optimal Management of Mobile Battery Energy Storage as a Self-Driving, Self-Powered and Movable Charging Station to Promote Electric Vehicle Adoption

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 736
Author(s):  
Hedayat Saboori ◽  
Shahram Jadid ◽  
Mehdi Savaghebi
Keyword(s):  
Energy Storage ◽  
Optimal Management ◽  
Battery Energy Storage ◽  
Charging Station ◽  
Demand Pattern ◽  
Self Powered ◽  
Battery Energy ◽  
Charging Stations ◽  
Ev Charging ◽  
Charging Demand

The high share of electric vehicles (EVs) in the transportation sector is one of the main pillars of sustainable development. Availability of a suitable charging infrastructure and an affordable electricity cost for battery charging are the main factors affecting the increased adoption of EVs. The installation location of fixed charging stations (FCSs) may not be completely compatible with the changing pattern of EV accumulation. Besides, their power withdrawal location in the network is fixed, and also, the time of receiving the power follows the EVs’ charging demand. The EV charging demand pattern conflicts with the network peak period and causes several technical challenges besides high electricity prices for charging. A mobile battery energy storage (MBES) equipped with charging piles can constitute a mobile charging station (MCS). The MCS has the potential to target the challenges mentioned above through a spatio-temporal transfer in the required energy for EV charging. Accordingly, in this paper, a new method for modeling and optimal management of mobile charging stations in power distribution networks in the presence of fixed stations is presented. The MCS is powered through its internal battery utilizing a self-powered mechanism. Besides, it employs a self-driving mechanism for lowering transportation costs. The MCS battery can receive the required energy at a different time and location regarding EVs accumulation and charging demand pattern. In other words, the mobile station will be charged at the most appropriate location and time by moving between the network buses. The stored energy will then be used to charge the EVs in the fixed stations’ vicinity at peak EV charging periods. In this way, the energy required for EV charging will be stored during off-peak periods, without stress on the network and at the lowest cost. Implementing the proposed method on a test case demonstrates its benefits for both EV owners and network operator.

Proposed Power Systems Planning in Indian Scenario for Integrating EV Charging Infrastructure

2022 ◽  
pp. 25-37
Author(s):  
Sanchari Deb ◽  
Sulabh Sachan
Keyword(s):  
Power Systems ◽  
Distribution System ◽  
Combustion Engine ◽  
Standard Test ◽  
Charging Infrastructure ◽  
Reliability Indices ◽  
Charging Station ◽  
Working Parameters ◽  
Charging Stations ◽  
Ev Charging

The growing concern about fossil energy exhaustion, air pollution, and ecological deprivation has made electric vehicles (EVs) a practical option in contrast to combustion engine-driven vehicles. In any case, driving extent uneasiness is one of the innate inadequacies related with EVs. Massive integration of EV charging load into the power system may be a threat to the distribution network. Spontaneous situation of charging stations in the distribution system and uncoordinated charging will augment the load demand thereby resulting in voltage instability, deterioration of reliability indices, harmonic distortions, and escalated power losses. This chapter will concentrate on breaking down the effect of EV chargers on the working parameters, for example, voltage dependability, unwavering quality, and force misfortune. The examination will be completed on standard test systems. The discoveries of the proposed part will evaluate the effect of EV charging load on the working parameters of the distribution system and help in proposing a framework for charging station planning.

scholarly journals Selecting Locations of Electric Vehicle Charging Stations Based on the Traffic Load Eliminating Method

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1650 ◽  
Author(s):  
Bong-Gi Choi ◽  
Byeong-Chan Oh ◽  
Sungyun Choi ◽  
Sung-Yul Kim
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Traffic Load ◽  
Queueing Model ◽  
Traffic Data ◽  
Electric Vehicle Charging ◽  
Supply Equipment ◽  
Charging Stations ◽  
Ev Charging ◽  
Charging Demand

Establishing electric vehicle supply equipment (EVSE) to keep up with the increasing number of electric vehicles (EVs) is the most realistic and direct means of promoting their spread. Using traffic data collected in one area; we estimated the EV charging demand and selected priority fast chargers; ranging from high to low charging demand. A queueing model was used to calculate the number of fast chargers required in the study area. Comparison of the existing distribution of fast chargers with that suggested by the traffic load eliminating method demonstrated the validity of our traffic-based location approach.

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 Decentralized V2G/G2V Scheduling of EV Charging Stations by Considering the Conversion Efficiency of Bidirectional Chargers

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 962
Author(s):  
Jian-Tang Liao ◽  
Hao-Wei Huang ◽  
Hong-Tzer Yang ◽  
Desheng Li
Keyword(s):  
Storage System ◽  
Energy Storage System ◽  
Large Power ◽  
Carbon Reduction ◽  
Charging Station ◽  
Service Companies ◽  
Battery Energy ◽  
Charging Stations ◽  
Conversion Efficiencies ◽  
Ev Charging

With a rapid increase in the awareness of carbon reduction worldwide, the industry of electric vehicles (EVs) has started to flourish. However, the large number of EVs connected to a power grid with a large power demand and uncertainty may result in significant challenges for a power system. In this study, the optimal charging and discharging scheduling strategies of G2V/V2G and battery energy storage system (BESS) were proposed for EV charging stations. A distributed computation architecture was employed to streamline the complexity of an optimization problem. By considering EV charging/discharging conversion efficiencies for different load conditions, the proposed method was used to maximize the operational profits of each EV and BESS based on the related electricity tariff and demand response programs. Moreover, the behavior model of drivers and cost of BESS degradation caused by charging and discharging cycles were considered to improve the overall practical applicability. An EV charging station with 100 charging piles was simulated as an example to verify the feasibility of the proposed method. The developed algorithms can be used for EV charging stations, load aggregators, and service companies integrated with distributed energy resources in a smart grid.

Gas Turbine Based Electric Vehicle Charging Station

2021 ◽  
Author(s):  
Manjush Ganiger ◽  
Maneesh Pandey ◽  
Rahul Wagh ◽  
Rakesh Govindasamy
Keyword(s):  
Gas Turbine ◽  
Carbon Capture ◽  
Integrated System ◽  
Charging Infrastructure ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
Charging Stations ◽  
Energy Dependent ◽  
Ev Charging

Abstract Transition towards electric vehicles (EV) is the key enabler for fighting against climate change as well as for sustainable future. However, to build more confidence on EV transition, availability of charging infrastructure is key. One of the important criterions for vehicle charging station is to have a stable electricity source that can meet varying charging demand. The paper attempts to explore the eco-system of self-sustainable and quasi-renewable charging infrastructure. This paper outlines a circular economy model for EV charging station (EVCS) using a gas turbine from the Baker Hughes™ portfolio. The proposed solution includes Solid Oxide Electrolyzer and a carbon capture unit, integrated to the gas turbine. This integrated system is decarbonized using the hydrogen generated by the electrolysis unit. Proposed solution on EVCS can charge about 1500 EVs in half a day of operation (50% power split). Solution is lucrative and has attractive return on investment. The solution here is having high power density, compared to the actual renewable energy dependent charging stations. The solution is flexible to incorporate Power-to-X conversions. Modular nature of the solution makes it easy to implement in city limits as well as in remote locations, along the highways, where grid availability can be challenging.

scholarly journals Charging Load Allocation Strategy of EV Charging Station Considering Charging Mode

2019 ◽  
Vol 10 (2) ◽  
pp. 47 ◽  
Author(s):  
Yutong Zhao ◽  
Hong Huang ◽  
Xi Chen ◽  
Baoqun Zhang ◽  
Yiguo Zhang ◽  
...  
Keyword(s):  
Large Scale ◽  
Allocation Strategy ◽  
Charging Station ◽  
Charging Mode ◽  
Grid Load ◽  
Coordinated Charging ◽  
Charging Stations ◽  
Additional Service ◽  
Ev Charging ◽  
Scale Grid

A charging load allocation strategy for Electric Vehicles (EVs) considering charging mode is proposed in this paper in order to solve the challenge and opportunity of large-scale grid-connected charging under the background of booming EV industry in recent years. Based on the peak-to-valley Time-of-Use (TOU) price, this strategy studies the grid load, charging cost and charging station revenue variation of EVs connected to the grid in different charging modes. In addition, this paper proposes an additional charging mechanism for charging stations to encourage EV owners to participate in the peak and valley reduction of the grid through coordinated charging. According to the example analysis, under the same charging demand conditions, the larger EV charging power will have a greater impact on the grid than the conventional charging power. This article collects additional service fees for car owners who are not involved in the coordinated charging. When the response charging ratio is less, the more total service charges are charged, which can compensate for the decline in the sales revenue of the charging station during the valley period. While having good economy, it can also encourage the majority of car owners to participate in the coordinated charging from the perspective of charging cost.

Simulation Study of System Operating Efficiency of EV Charging Stations with Different Power Supply Topologies

2014 ◽  
Vol 494-495 ◽  
pp. 1500-1508 ◽  
Author(s):  
Yu Huang ◽  
Jing Jing Ye ◽  
Xin Du ◽  
Li Yong Niu
Keyword(s):  
Power Supply ◽  
Simulation Analysis ◽  
Power Conversion ◽  
Operating Efficiency ◽  
Power Cable ◽  
Charging Station ◽  
Comparative Results ◽  
Charging Stations ◽  
Ev Charging ◽  
System Operating

This paper discusses the effect of power supply and power conversion structure on system operating efficiency of an EV charging station. The system efficiencies of two EV charging stations (ECS), AC bus (ABECS) and DC bus (DBECS), are evaluated by a simulation analysis. The effect of power conversion structure is investigated by an analytical model constructed in MATLAB. Based on the battery characteristics, we build an energy loss model of various components of EV charging stations with different topologies including distribution transformer, power cable and charger with different conversion structure. Using this model, the system operation efficiencies of charging stations equipped with an AC or a DC supply bus are compared. The comparative results for both power supplies, acquired by the appropriate MATLAB/Simulink simulations, are presented.

scholarly journals PV-Powered Electric Vehicle Charging Stations: Preliminary Requirements and Feasibility Conditions

2021 ◽  
Vol 11 (4) ◽  
pp. 1770
Author(s):  
Saleh Cheikh-Mohamad ◽  
Manuela Sechilariu ◽  
Fabrice Locment ◽  
Youssef Krim
Keyword(s):  
Air Pollution ◽  
Energy System ◽  
Environmental Benefits ◽  
Dc Microgrid ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Grid Connection ◽  
Charging Stations ◽  
Energy Grid ◽  
Ev Charging

Environmental benefits lie in halting direct air pollution and reducing greenhouse gas emissions. In contrast to thermal vehicles, electric vehicles (EV) have zero tailpipe emissions, but their contribution in reducing global air pollution is highly dependent on the energy source they have been charged with. Thus, the energy system depicted in this paper is a photovoltaic (PV)-powered EV charging station based on a DC microgrid and includes stationary storage and public grid connection as power source backups. The goal is to identify the preliminary requirements and feasibility conditions for PV-powered EV charging stations leading to PV benefits growth. Simulation results of different scenarios prove that slow charging with long park time could increase PV benefits for EVs and may reduce the charging price, therefore, EV users should be more willing to stay at charging stations. Whereas, for fast charging, EV users should accept the high charging price since it depends on the public energy grid. Energy system distribution and EV’s energy distribution are well presented.

scholarly journals Energy savings approach to optimal location of EV charging stations in microgrids

2021 ◽  
Vol 19 ◽  
pp. 33-38
Author(s):  
Vishnu Suresh ◽  
◽  
Przemyslaw Janik ◽  
Dominika Kaczorowska
Keyword(s):  
Energy Management ◽  
Interior Point Method ◽  
Energy Savings ◽  
Renewable Energy Sources ◽  
Optimal Location ◽  
Energy Management System ◽  
Charging Station ◽  
The One ◽  
Charging Stations ◽  
Ev Charging

This paper presents an analytical approach to finding an optimal location for an EV charging station based on energy savings in a local microgrid. The analysis is carried out on days obtained by clustering yearly load data and by running an energy management system that runs on MATLAB interior point method. The microgrid is composed of both renewable and non-renewable energy sources. The charging station is equipped with a controlled charging feature and this study considers 2 EV charging strategies out of which the one benefitting the power system is adopted.

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