Optimal Scheduling for EV Charging Stations in Distribution Networks: A Convexified Model

2016 ◽  
pp. 1-1 ◽  
Author(s):  
Yue Song ◽  
Yu Zheng ◽  
David Hill
Keyword(s):  
Distribution Networks ◽  
Optimal Scheduling ◽  
Charging Stations ◽  
Ev Charging

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 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 Data-Driven EV Load Profiles Generation Using a Variational Auto-Encoder

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 849 ◽  
Author(s):  
Zhixin Pan ◽  
Jianming Wang ◽  
Wenlong Liao ◽  
Haiwen Chen ◽  
Dong Yuan ◽  
...  
Keyword(s):  
Probability Distribution ◽  
Random Number ◽  
Temporal Correlation ◽  
Distribution Networks ◽  
Data Driven ◽  
Power Load ◽  
Data Driven Approach ◽  
Set Up ◽  
Charging Stations ◽  
Ev Charging

Although the penetration of electric vehicles (EVs) in distribution networks can improve the energy saving and emission reduction effects, its random and uncertain nature limits the ability of distribution networks to accept the load of EVs. To this end, establishing a load profile model of EV charging stations accurately and reasonably is of great significance to the planning, operation and scheduling of power system. Traditional generation methods for EV load profiles rely too much on experience, and need to set up a power load probability distribution in advance. In this paper, we propose a data-driven approach for load profiles of EV generation using a variational automatic encoder. Firstly, an encoder composed of deep convolution networks and a decoder composed of transposed convolution networks are trained using the original load profiles. Then, the new load profiles are obtained by decoding the random number which obeys a normal distribution. The simulation results show that EV load profiles generated by the deep convolution variational auto-encoder can not only retain the temporal correlation and probability distribution nature of the original load profiles, but also have a good restorative effect on the time distribution and fluctuation nature of the original power load.

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.

Placement and Sizing of EV Charging Stations According to Centrality of the Underlying Network

2020 ◽  
Author(s):  
Hossein Parastvand ◽  
Octavian Bass ◽  
Mohammad A. S. Masoum ◽  
Zeinab Moghaddam ◽  
Stefan Lachowicz ◽  
...  
Keyword(s):  
Underlying Network ◽  
Charging Stations ◽  
Ev Charging

Optimal location of EV charging stations in a neighborhood considering a multi-objective approach

2021 ◽  
Vol 199 ◽  
pp. 107391
Author(s):  
Leonardo Bitencourt ◽  
Tiago P. Abud ◽  
Bruno H. Dias ◽  
Bruno S.M.C. Borba ◽  
Renan S. Maciel ◽  
...  
Keyword(s):  
Optimal Location ◽  
Multi Objective ◽  
Charging Stations ◽  
Ev Charging
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