Impact of Electric Vehicle Battery Parameters on the Large-Scale Electric Vehicle Charging Loads in Power Distribution Network

2020 ◽  
Author(s):  
Chen Yang ◽  
Jinrui Tang ◽  
Qing Shen
Keyword(s):  
Electric Vehicle ◽  
Power Distribution ◽  
Large Scale ◽  
Distribution Network ◽  
Power Distribution Network ◽  
Electric Vehicle Charging ◽  
Electric Vehicle Battery ◽  
Vehicle Charging

scholarly journals Spatial Load Prediction Considering Spatiotemporal Distribution of Electric Vehicle Charging Load

2021 ◽  
Vol 256 ◽  
pp. 01001
Author(s):  
Xiang Gao ◽  
Lingyan Wei ◽  
Bing Wang ◽  
Guiru Chen ◽  
Xiaoyue Wu
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Large Scale ◽  
Distribution Network ◽  
Prediction Method ◽  
Temporal Distribution ◽  
Load Prediction ◽  
Electric Vehicle Charging ◽  
Urban Distribution ◽  
Vehicle Charging

In view of the influence of large-scale electric vehicle access to the distribution network on spatial load prediction, this paper proposes a spatial load prediction method for urban distribution network considering the spatial and temporal distribution of electric vehicle charging load. Firstly, electric vehicles are classified according to charging mode and travel characteristics of various types of vehicles. Secondly, the probability distribution function is fitted to the travel rules of electric vehicles according to the travel survey and statistical data of residents. Then, the model of electric vehicle travel chain is constructed, and the charging load in different regions and different times is calculated by Monte Carlo method. Finally, based on the actual data of a certain area, the predicted spatial load values of different functional communities in one day are obtained, which can provide reference for future urban distribution network planning.

scholarly journals Review on Optimal Siting of Electric Vehicle Charging Infrastructure

2019 ◽  
pp. 1-10
Author(s):  
Ahmadu Adamu Galadima ◽  
Tahir Aja Zarma ◽  
Maruf A. Aminu
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Large Scale ◽  
Distribution Network ◽  
Clean Energy ◽  
Optimal Placement ◽  
Maintenance Cost ◽  
Charging Infrastructure ◽  
Electric Vehicle Charging ◽  
Vehicle Charging

Concerns about the need for clean energy and the need to reduce green-house gases have led researchers and engineers to explore adoption of electric vehicle technology. Electric vehicles hold a promising future due to their efficiency, low maintenance cost and zero carbon emission. Unfortunately, due to metric range drawbacks associated with electric vehicles, large scale adoption of electric vehicles still remains relatively low. To solve this issue of range anxiety, optimal placement and sizing methods of electric vehicle infrastructure is essential. This paper presents a review of optimal siting of electric vehicle charging infrastructure. It discusses impacts of electric vehicle charging loads on the distribution network and how large scale electric vehicle penetration would affect the grid. Further, the benefits of electric vehicles on the distribution network as well as the integration of renewable energy resources are presented.

scholarly journals Modeling of Electric Vehicle Charging Load in Different Areas of Distribution Network

2021 ◽  
Vol 261 ◽  
pp. 01007
Author(s):  
Zhou Jiang ◽  
Hairong Zou
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Large Scale ◽  
Impact Load ◽  
Distribution Network ◽  
Factors Affecting ◽  
Electric Vehicle Charging ◽  
Fast Charging ◽  
Vehicle Charging ◽  
Behavior Characteristics

This paper presents a method of forecasting and modeling of electric vehicle charging load in different regions of distribution network. Firstly, the fixed factors affecting the charging load of electric vehicles are analyzed. The electric vehicles are divided into pure electric and plug-in hybrid electric vehicles, and the charging equipment is divided into ordinary charging equipment and fast charging equipment. Then, the behavior characteristics and psychological factors of electric vehicle users are considered as the random factors influencing the charging load, the investigation statistics and hypotheses are carried out. Finally, the distribution network is divided into different regions, and the charging load model of each region is established based on Monte Carlo simulation. The established model shows that with the increase of penetration rate of electric vehicles in the future, large-scale charging into the power grid will cause impact load in different regions of the distribution network at different times, which provides some reference for the suppression of voltage fluctuation in distribution network.

Minimizing area of VLSI power distribution networks using river formation dynamics

2018 ◽  
Vol 20 (4) ◽  
pp. 417-429 ◽  
Author(s):  
Satyabrata Dash ◽  
Sukanta Dey ◽  
Deepak Joshi ◽  
Gaurav Trivedi
Keyword(s):  
Power Distribution ◽  
Large Scale ◽  
Distribution Network ◽  
Distribution Networks ◽  
Power Distribution Networks ◽  
Power Distribution Network ◽  
Content Type ◽  
Ir Drop ◽  
Formation Dynamics ◽  
River Formation Dynamics

Purpose The purpose of this paper is to demonstrate the application of river formation dynamics to size the widths of power distribution network for very large-scale integration designs so that the wire area required by power rails is minimized. The area minimization problem is transformed into a single objective optimization problem subject to various design constraints, such as IR drop and electromigration constraints. Design/methodology/approach The minimization process is carried out using river formation dynamics heuristic. The random probabilistic search strategy of river formation dynamics heuristic is used to advance through stringent design requirements to minimize the wire area of an over-designed power distribution network. Findings A number of experiments are performed on several power distribution benchmarks to demonstrate the effectiveness of river formation dynamics heuristic. It is observed that the river formation dynamics heuristic outperforms other standard optimization techniques in most cases, and a power distribution network having 16 million nodes is successfully designed for optimal wire area using river formation dynamics. Originality/value Although many research works are presented in the literature to minimize wire area of power distribution network, these research works convey little idea on optimizing very large-scale power distribution networks (i.e. networks having more than four million nodes) using an automated environment. The originality in this research is the illustration of an automated environment equipped with an efficient optimization technique based on random probabilistic movement of water drops in solving very large-scale power distribution networks without sacrificing accuracy and additional computational cost. Based on the computation of river formation dynamics, the knowledge of minimum area bounded by optimum IR drop value can be of significant advantage in reduction of routable space and in system performance improvement.

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