scholarly journals Onboard Battery Chargers for Plug-in Electric Vehicles with Dual Functional Circuit for Low-Voltage Battery Charging and Active Power Decoupling

IEEE Access ◽  
2018 ◽  
pp. 1-1 ◽  
Author(s):  
Hoang Vu Nguyen ◽  
Dinh-Du To ◽  
Dong-Choon Lee
Keyword(s):  
Electric Vehicles ◽  
Low Voltage ◽  
Active Power ◽  
Battery Charging ◽  
Dual Functional ◽  
Battery Chargers ◽  
Power Decoupling

scholarly journals Estimation of Harmonic Emission of Electric Vehicles and Their Impact on Low Voltage Residential Network

2021 ◽  
Vol 13 (15) ◽  
pp. 8551
Author(s):  
Muhammad Naveed Iqbal ◽  
Lauri Kütt ◽  
Kamran Daniel ◽  
Bilal Asad ◽  
Payam Shams Ghahfarokhi
Keyword(s):  
Electric Vehicles ◽  
Low Voltage ◽  
Nonlinear Loads ◽  
Charging Infrastructure ◽  
Current Harmonic ◽  
Load Model ◽  
Harmonic Emission ◽  
Battery Chargers ◽  
The Impact ◽  
Ev Charging

The EV penetration in the low voltage residential grids is expected to increase rapidly in the coming years. It is expected that EV consumers will prefer overnight home charging because of its convenience and lack of charging infrastructure. The EV battery chargers are nonlinear loads and likely to increase the current harmonic emission in the distribution network. The imminent increase of EV load requires upgrading or managing the existing power system to support the additional charging load. This paper provides the estimation of the current harmonic emission of the EV charging load at different voltage distortions using the stochastic EV load model. The impact of EV charging on the distribution transformer is also presented.

REDUCTION OF ACTIVE POWER LOSSES IN LOW VOLTAGE NETWORKS WITH THE RECTIFIER LOAD

2017 ◽  
Vol 2017 (3) ◽  
pp. 65-70
Author(s):  
A.F. Zharkin ◽  
◽  
V.A. Novskyi ◽  
N.N. Kaplychnyi ◽  
A.V. Kozlov ◽  
...  
Keyword(s):  
Low Voltage ◽  
Active Power ◽  
Power Losses ◽  
Active Power Losses

scholarly journals Heuristic Optimization of Overloading Due to Electric Vehicles in a Low Voltage Grid

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6069
Author(s):  
Sajjad Haider ◽  
Peter Schegner
Keyword(s):  
Electric Vehicles ◽  
Low Voltage ◽  
Optimization Methods ◽  
Monte Carlo Analysis ◽  
Heuristic Optimization ◽  
Optimization Approach ◽  
Worst Case ◽  
Voltage Drops ◽  
The Individual ◽  
Nodal Voltage

It is important to understand the effect of increasing electric vehicles (EV) penetrations on the existing electricity transmission infrastructure and to find ways to mitigate it. While, the easiest solution is to opt for equipment upgrades, the potential for reducing overloading, in terms of voltage drops, and line loading by way of optimization of the locations at which EVs can charge, is significant. To investigate this, a heuristic optimization approach is proposed to optimize EV charging locations within one feeder, while minimizing nodal voltage drops, cable loading and overall cable losses. The optimization approach is compared to typical unoptimized results of a monte-carlo analysis. The results show a reduction in peak line loading in a typical benchmark 0.4 kV by up to 10%. Further results show an increase in voltage available at different nodes by up to 7 V in the worst case and 1.5 V on average. Optimization for a reduction in transmission losses shows insignificant savings for subsequent simulation. These optimization methods may allow for the introduction of spatial pricing across multiple nodes within a low voltage network, to allow for an electricity price for EVs independent of temporal pricing models already in place, to reflect the individual impact of EVs charging at different nodes across the network.

scholarly journals Optimized Strategic Planning of Future Norwegian Low-Voltage Networks with a Genetic Algorithm Applying Empirical Electric Vehicle Charging Data

Electricity ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 91-109
Author(s):  
Julian Wruk ◽  
Kevin Cibis ◽  
Matthias Resch ◽  
Hanne Sæle ◽  
Markus Zdrallek
Keyword(s):  
Genetic Algorithm ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Low Voltage ◽  
Network Planning ◽  
Voltage Regulation ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
The Impact

This article outlines methods to facilitate the assessment of the impact of electric vehicle charging on distribution networks at planning stage and applies them to a case study. As network planning is becoming a more complex task, an approach to automated network planning that yields the optimal reinforcement strategy is outlined. Different reinforcement measures are weighted against each other in terms of technical feasibility and costs by applying a genetic algorithm. Traditional reinforcements as well as novel solutions including voltage regulation are considered. To account for electric vehicle charging, a method to determine the uptake in equivalent load is presented. For this, measured data of households and statistical data of electric vehicles are combined in a stochastic analysis to determine the simultaneity factors of household load including electric vehicle charging. The developed methods are applied to an exemplary case study with Norwegian low-voltage networks. Different penetration rates of electric vehicles on a development path until 2040 are considered.

New energy bound-based model for optimal charging of electric vehicles with solar photovoltaic considering low-voltage network's constraints

2021 ◽  
Vol 129 ◽  
pp. 106862
Author(s):  
Andrés Felipe Cortés Borray ◽  
Alejandro Garcés ◽  
Julia Merino ◽  
Esther Torres ◽  
Javier Mazón
Keyword(s):  
Electric Vehicles ◽  
Low Voltage ◽  
Solar Photovoltaic ◽  
New Energy ◽  
Energy Bound
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