scholarly journals An Analysis of Electromagnetic Disturbances from an Electric Vehicle Charging Station

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 244
Author(s):  
Paweł Mazurek ◽  
Aleksander Chudy
Keyword(s):  
Power Quality ◽  
Electric Energy ◽  
Distribution Networks ◽  
Quality Parameters ◽  
Voltage Profile ◽  
Current Harmonics ◽  
Charging Station ◽  
Charging Stations ◽  
Electromagnetic Disturbances ◽  
Ev Charging

The electric vehicles (EVs) could potentially have a significant impact on power quality parameters and distribution networks as they are non-linear loads and their charging might result in tremendous power demand. When connected to the utility grid, a large number of EV charging stations from different manufacturers might create significant harmonic current emissions, impact the voltage profile, and eventually affect the power quality. Nevertheless, practical examples of disturbances from charging stations have not been made public. This paper aims to clarify the characteristics of conductive disturbances and levels of current harmonics generated by charging station and their severity on the quality of electric energy. The analysis was based on tests of a prototype station of an EV charging station integrated with a LED street light. The tests concern the determination of current harmonics and the values of conductive electromagnetic disturbances in the 150 kHz–30 MHz range. The test results of the prototype charger with observed exceedances of current harmonics (25th–39th range) and conducted interference exceedances are comprehensively described. After applying filtering circuits to the final version of the station, retesting in an accredited laboratory showed qualitative compliance.

scholarly journals The Impact of Location and Size of the Wind Technology on Power Quality in a Distribution System with Different Loads

2019 ◽  
Vol 9 (1) ◽  
pp. 1909-1914
Keyword(s):  
Power Quality ◽  
Distribution System ◽  
Quality Parameters ◽  
Loss Reduction ◽  
Voltage Profile ◽  
Current Harmonics ◽  
Voltage Unbalance ◽  
The Impact ◽  
Voltage Profile Improvement

The impact of wind technology on power quality for a distribution system is emphasized in this paper. The Power Quality of a Distribution system depends on voltage and Frequency quality. The pros of integrating the wind turbine to the system are loss reduction and voltage profile improvement but the cons of adding renewable energy to the distribution system are represented in this paper. such as voltage unbalance, flicker, power factor, and the impact of voltage and current harmonics are measured. The performed analysis results indicated the importance of the integration of DG based on Power quality Parameters.

scholarly journals Probabilistic Harmonic Calculation in Distribution Networks with Electric Vehicle Charging Stations

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Jianxue Wang ◽  
Yanlin Cui ◽  
Minghui Zhu
Keyword(s):  
Power Flow ◽  
Simulation Method ◽  
Distribution Networks ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Harmonic Currents ◽  
Good Potential ◽  
Planning And Construction ◽  
Charging Stations ◽  
Ev Charging

Integrating EV charging station into power grid will bring impacts on power system, among which the most significant one is the harmonic pollution on distribution networks. Due to the uncertainty of the EV charging process, the harmonic currents brought by EV charging stations have a random nature. This paper proposed a mathematical simulation method for studying the working status of charging stations, which considers influencing factors including random leaving factor, electricity price, and waiting time. Based on the proposed simulation method, the probability distribution of the harmonic currents of EV charging stations is obtained and used in the calculation of the probability harmonic power flow. Then the impacts of EVs and EV charging stations on distribution networks can be analyzed. In the case study, the proposed simulation and analysis method is implemented on the IEEE-34 distribution network. The influences of EV arrival rates, the penetration rate, and the accessing location of EV charging station are also investigated. Results show that this research has good potential in guiding the planning and construction of charging station.

scholarly journals Controllability Evaluation of EV Charging Infrastructure Transformed from Gas Stations in Distribution Networks with Renewables

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1577
Author(s):  
Shuang Gao ◽  
Jianzhong Wu ◽  
Bin Xu
Keyword(s):  
Power Distribution ◽  
Queuing Theory ◽  
Distribution Networks ◽  
Temporal And Spatial Distribution ◽  
Charging Infrastructure ◽  
Optimal Dispatch ◽  
Gas Stations ◽  
Charging Stations ◽  
The Impact ◽  
Ev Charging

A considerable market share of electric vehicles (EVs) is expected in the near future, which leads to a transformation from gas stations to EV charging infrastructure for automobiles. EV charging stations will be integrated with the power grid to replace the fuel consumption at the gas stations for the same mobile needs. In order to evaluate the impact on distribution networks and the controllability of the charging load, the temporal and spatial distribution of the charging power is calculated by establishing mapping the relation between gas stations and charging facilities. Firstly, the arrival and parking period is quantified by applying queuing theory and defining membership function between EVs to parking lots. Secondly, the operational model of charging stations connected to the power distribution network is formulated, and the control variables and their boundaries are identified. Thirdly, an optimal control algorithm is proposed, which combines the configuration of charging stations and charging power regulation during the parking period of each individual EV. A two-stage hybrid optimization algorithm is developed to solve the reliability constrained optimal dispatch problem for EVs, with an EV aggregator installed at each charging station. Simulation results validate the proposed method in evaluating the controllability of EV charging infrastructure and the synergy effects between EV and renewable integration.

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 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.

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