A Semi-Intelligence Algorithm For Charging Electric Vehicles
The penetration of Electric Vehicles (EVs) in Distribution Networks (DNs) has many challenges for distribution companies, such as voltage drop, network losses, etc. To overcome these problems, it is recommended to use coordinated charging methods. However, these methods require high-cost telecommunication, measurement, and processing infrastructure and can only be implemented in smart grids. This article introduces a Semi-Smart Method (SSM) to charge EVs that does not require complex infrastructure. This method, using a simple and inexpensive local automation system, charges EVs during off-peak hours of the DN, thus improving its parameters. Since EVs are charged at low-traffic time intervals, the proposed method benefits EV owners. To get real results, 4- wire DN is considered to model the effect of the neutral wire. To confirm the effectiveness of the proposed method, it is compared to various uncontrolled loading methods. A standard 19-bus test system is used for simulations.
Code (0)
등록된 구현이 없습니다.
Methods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Estimation of Electric Vehicle Public Charging Demand using Cellphone Data and Points of Interest-based Segmentation
The race for road electrification has started, and convincing drivers to switch from fuel-powered vehicles to electric vehicles requires robust Electric Vehicle (EV) charging infrastructure. This article proposes an inno…
SegmentationSimulation Based Evaluation and Optimization for PEV Charging Stations Deployment in Transportation Networks
Plug-in electric vehicles are receiving global attention. However, large-scale plug-in electric vehicles bring challenge to charging station deployment. This paper provides a deployment evaluation method and a planning m…
Smart Online Charging Algorithm for Electric Vehicles via Customized Actor-Critic Learning
With the advances in the Internet of Things technology, electric vehicles (EVs) have become easier to schedule in daily life, which is reshaping the electric load curve. It is important to design efficient charging algor…
Computational Efficiencyenergy managementManagementSchedulingDefinition of Static and Dynamic Load Models for Grid Studies of Electric Vehicles Connected to Fast Charging Stations
The growing deployment of electric mobility calls for power system analyses to investigate to what extent the simultaneous charging of electric vehicles leads to degraded network operation and to validate the efficiency …
CPUExplainable Anomaly Detection for Electric Vehicles Charging Stations
Electric vehicles (EV) charging stations are one of the critical infrastructures needed to support the transition to renewable-energy-based mobility, but ensuring their reliability and efficiency requires effective anoma…
Unsupervised Anomaly DetectionFeature Importance