Interconnections and Communications of Electric Vehicles and Smart Grids

Kaebisch, Sebastian; Schmitt, Anton; Winter, Martin; Heuer, Jörg

doi:10.1109/smartgrid.2010.5622035

Cited by 80 publications

(26 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [19], Singh et al demonstrated that the coordinated charging and discharging of EVs can improve the voltage profile and reduce the power transmission loss. The paper in [15] discussed the vehicle to grid integration and described the vehicle-to-grid communication interface.…”

Section: Introductionmentioning

confidence: 99%

Optimal Scheduling for Charging and Discharging of Electric Vehicles

Venkatesh

Guan

2012

IEEE Trans. Smart Grid

706

440

View full text Add to dashboard Cite

Abstract-The vehicle electrification will have a significant impact on the power grid due to the increase in electricity consumption. It is important to perform intelligent scheduling for charging and discharging of Electric Vehicles (EVs). However, there are two major challenges in the scheduling problem. First, it is challenging to find the globally optimal scheduling solution which can minimize the total cost. Second, it is difficult to find a distributed scheduling scheme which can handle a large population and the random arrivals of the EVs. In this paper, we propose a globally optimal scheduling scheme and a locally optimal scheduling scheme for EV charging and discharging. We first formulate a global scheduling optimization problem, in which the charging powers are optimized to minimize the total cost of all EVs which perform charging and discharging during the day. The globally optimal solution provides the globally minimal total cost. However, the globally optimal scheduling scheme is impractical since it requires the information on the future base loads and the arrival times and the charging periods of the EVs that will arrive in the future time of the day. To develop a practical scheduling scheme, we then formulate a local scheduling optimization problem, which aims to minimize the total cost of the EVs in the current ongoing EV set in the local group. The locally optimal scheduling scheme is not only scalable to a large EV population but also resilient to the dynamic EV arrivals. Through simulations, we demonstrate that the locally optimal scheduling scheme can achieve a close performance compared to the globally optimal scheduling scheme. Index Terms-Optimal

show abstract

Section: Introductionmentioning

confidence: 99%

Optimal Scheduling for Charging and Discharging of Electric Vehicles

Venkatesh

Guan

2012

IEEE Trans. Smart Grid

706

440

View full text Add to dashboard Cite

show abstract

“…The charging infrastructure, battery management system, and the communication requirements for smart charging is overviewed in [23]. In order to realize a standardized communication interface between the vehicle and the grid e.g., in Europe, the standardization proposals [24], [25] will make it possible for EV users to have easy access to EV charging equipment (EVSE) and related services throughout Europe. EVSE refers to all devices installed for delivering power from the electrical supply point to the EV and this charging equipment will support smart charging functions.…”

Section: Introductionmentioning

confidence: 99%

Preventing Distribution Grid Congestion by Integrating Indirect Control in a Hierarchical Electric Vehicles’ Management System

Lind

et al. 2016

IEEE Trans. Transp. Electrific.

View full text Add to dashboard Cite

Abstract-In this paper, a hierarchical management system is proposed to integrate electric vehicles (EVs) into a distribution grid. Three types of actors are included in the system: Distribution system operators (DSOs), Fleet operators (FOs) and EV owners. In contrast to a typical hierarchical control system where the upper level controller directly controls the lower level subordinated nodes, this study aims to integrate two common indirect control methods:market-based control and price-based control into the hierarchical electric vehicles management system. Specifically, on the lower level of the hierarchy, the FOs coordinate the charging behaviors of their EV users using a price-based control method. A parametric utility model is used on the lower level to characterize price elasticity of electric vehicles and thus used by the FO to coordinate the individual EV charging. On the upper level of the hierarchy, the distribution system operator uses the market-based control strategy to coordinate the limited power capacity of power transformer with fleet operators. To facilitate the application of the two indirect control methods into the system, a model describing decision tasks in control is used to specify the essential functions that are needed in the control system. The simulations illustrate the effectiveness of the proposed solutions.

show abstract

“…The basic principles of V2G communication interfaces are described in [10]. Protocol mapping for this purpose is proposed in this work, and sample implementation is shown.…”

Section: Existing Researches About Ev and The Electricity Gridmentioning

confidence: 99%

Evaluation of Smart Grid Simulation System with Power Stabilization by EV

Karaishi¹,

Oguchi²

2013

NPA

View full text Add to dashboard Cite

Recently, attention has been focused on whether the Smart Grid could work efficiently in an energy network. The subject of our study is the electric vehicle (EV), which has been proposed as a potential chargeable/dischargeable part of the power grid infrastructure. As energy is transferred between an EV and the power grid, it is possible to regulate energy on the entire grid via charging and discharging the EV battery. In the future, it may also be possible to stabilize energy within the system, using information technology control embedded in the network of the Smart Grid. This research is to construct the Smart Grid simulation system to evaluate power flow on such an environment. As a result of the evaluation, the proposed and developed system works to provide us means of a useful evaluation for various cases of the Smart Grid.

show abstract

Interconnections and Communications of Electric Vehicles and Smart Grids

Cited by 80 publications

References 2 publications

Optimal Scheduling for Charging and Discharging of Electric Vehicles

Optimal Scheduling for Charging and Discharging of Electric Vehicles

Preventing Distribution Grid Congestion by Integrating Indirect Control in a Hierarchical Electric Vehicles’ Management System

Evaluation of Smart Grid Simulation System with Power Stabilization by EV

Contact Info

Product

Resources

About