Design and simulation of a DC electric vehicle charging station connected to a MVDC infrastructure

Sparacino, Adam R.; Grainger, Brandon M.; Kerestes, Robert J.; Reed, Gregory F.

doi:10.1109/ecce.2012.6342685

Cited by 19 publications

(17 citation statements)

References 9 publications

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“…However, the AC OPF is nonconvex due to the nonlinearity of the physical parameters [23], i.e., active power, reactive power, and node voltage, as shown in Equations (6) and (7). As a result, the OPF for the AC/DC hybrid network is nonconvex [24].…”

Section: Methodsmentioning

confidence: 96%

“…The DC distribution systems contains the following benefits [6,7]. First, the DC/AC and AC/DC conversion stages in the AC systems can be avoided in the DC systems, because many renewable energy sources (RESs) like wind power and photovoltaic (PV) generation usually produce DC power directly, or produce DC first then it is converted to AC.…”

Section: Introductionmentioning

confidence: 99%

“…However, network constrains are always ignored in these studies, since the systems are of small scale. At the medium-voltage level, DC distribution systems are often used in the area of offshore wind integration [10], electric vehicle charging station [7], and ship power networks [11]. In [10], a design of a power management control for an offshore DC distribution system for induction motor drives is proposed.…”

Section: Introductionmentioning

confidence: 99%

“…In [10], a design of a power management control for an offshore DC distribution system for induction motor drives is proposed. In [7], a common DC bus architecture is presented for an electric vehicle charging station. In [11], a megawatt scale, medium voltage, medium frequency resonant dual active bridge dc-dc converter is studied for the medium voltage DC (MVDC) ship power networks.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Power Scheduling for a Medium Voltage AC/DC Hybrid Distribution Network

et al. 2018

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Abstract:With the great increase of renewable generation as well as the DC loads in the distribution network; DC distribution technology is receiving more attention; since the DC distribution network can improve operating efficiency and power quality by reducing the energy conversion stages. This paper presents a new architecture for the medium voltage AC/DC hybrid distribution network; where the AC and DC subgrids are looped by normally closed AC soft open point (ACSOP) and DC soft open point (DCSOP); respectively. The proposed AC/DC hybrid distribution systems contain renewable generation (i.e., wind power and photovoltaic (PV) generation); energy storage systems (ESSs); soft open points (SOPs); and both AC and DC flexible demands. An energy management strategy for the hybrid system is presented based on the dynamic optimal power flow (DOPF) method. The main objective of the proposed power scheduling strategy is to minimize the operating cost and reduce the curtailment of renewable generation while meeting operational and technical constraints. The proposed approach is verified in five scenarios. The five scenarios are classified as pure AC system; hybrid AC/DC system; hybrid system with interlinking converter; hybrid system with DC flexible demand; and hybrid system with SOPs. Results show that the proposed scheduling method can successfully dispatch the controllable elements; and that the presented architecture for the AC/DC hybrid distribution system is beneficial for reducing operating cost and renewable generation curtailment.

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Section: Methodsmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimal Power Scheduling for a Medium Voltage AC/DC Hybrid Distribution Network

et al. 2018

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“…Their advantages include the possibility of using mathematical apparatus in the processing of statistical data, the ability to take into account a significant number of external factors that affect the object of research [5]. Thus, in [6] the method for determination of some indicators of the production capacity of a technical service is presented based on the probabilistic method, namely: the number of places in the queue, the num ber of service posts, etc.…”

mentioning

confidence: 99%

On determining productive capacity of EV traction battery repair area

Koriashkina¹,

Deryugin²,

Fedoriachenko³

et al. 2019

NVNGU

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Purpose. To ensure the effective functioning of the area for diagnosis and repair of tractive electric vehicle (EV) battery by determining the technical and economic indicators of the production capacity of the enterprise. Methodology. Modelling the process of repairing section of the EV traction battery is performed using the main principles of the queuing system, the graph theory. While calculating the probabilitytime characteristics and determining the production ca pacity of the site, the methods of mathematical statistics and probability theory were involved. findings. With the use of systematic approach, the EV market in Ukraine and the dynamics of the demand over the past three years have been studied. There was collected and analyzed information about issues related to the EV operation, and the most common ones were identified. Empirically, there was obtained an estimate for the duration of the process of repairing and replac ing the EV traction battery, as well as the cost of basic operations. The battery repair section of the traction battery is represented as a multichannel queuing system, assuming that the flow of applications for diagnosing and repair is Poisson's flow, and the ran dom process is Markovian. The problem of rational organization of the EV traction battery repair site has been solved by determin ing the minimum number of repair posts, at which the queue will not grow indefinitely (if customers can wait for their service for a long time and do not leave the queue). The number of repair posts was estimated for the traction battery, which in the existing conditions will allow organizing technical customer service effectively, minimizing the total economic losses from downtime of process equipment and refusals of applications for repairs. originality. The use of models and methods of the queuing system for the calculation of technical and economic indicators of the production capacity of the traction battery repair section allowed taking into account the stochastic nature of the needs for repaire, and determining the optimal values of those characteristics that ensure the efficient performance of the EV repair section. Practical value. The proposed method for determining the production capacity of the repair section of traction battery is used in solving problems related to the selection and rational placement of technological equipment when designing or upgrading a workshop.

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Novel wind powered electric vehicle charging station with vehicle-to-grid (V2G) connection capability

Fathabadi

2017

Energy Conversion and Management

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Design and simulation of a DC electric vehicle charging station connected to a MVDC infrastructure

Cited by 19 publications

References 9 publications

Optimal Power Scheduling for a Medium Voltage AC/DC Hybrid Distribution Network

Optimal Power Scheduling for a Medium Voltage AC/DC Hybrid Distribution Network

On determining productive capacity of EV traction battery repair area

Novel wind powered electric vehicle charging station with vehicle-to-grid (V2G) connection capability

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