Load Forecasting of Charging and Swapping in Large-Scale Electric Vehicle

2014 ◽  
Vol 568-570 ◽  
pp. 1969-1977 ◽  
Author(s):  
Jian Cheng Ye ◽  
Yu Ling Li ◽  
Dong Liang Zhang ◽  
Xiang Jing Zhu ◽  
Jin Da Zhu
Keyword(s):  
Electric Vehicle ◽  
Large Scale ◽  
Access Network ◽  
Calculation Model ◽  
Simulation Algorithm ◽  
Charging Time ◽  
Load Calculation ◽  
Other Information ◽  
Charging Mode ◽  
Ev Charging

This article combs the charging mode of electric vehicle,and analyzes different charging ways for buses,taxis and sedans,thereby drawing their appropriate charging time and characteristics of the interaction with grid. The paper establishes the load calculation model for the charging and swapping in Evs respectively. The load calculation model divides one day into 1440 minutes, and use the Monte Carlo simulation algorithm to extract the initial SOC, the initial charging time and other information for load calculation and analyze the EV charging load. The results show that the charging load of electric vehicle has obvious difference between peak and vally,and provide reference for the management and policy oriented electric vhicle access network.

Impact of Electric Vehicle Charging Mode on Load Characteristic in the Shandong Electric Power Grid

2012 ◽  
Vol 608-609 ◽  
pp. 1582-1586
Author(s):  
Jian Wang ◽  
Kui Hua Wu ◽  
Feng Wang ◽  
Kui Zhong Wu ◽  
Zhi Zhen Liu
Keyword(s):  
Electric Vehicle ◽  
Large Scale ◽  
Power Grid ◽  
Maximum Load ◽  
Load Models ◽  
Electric Vehicle Charging ◽  
Electric Power Grid ◽  
Charging Mode ◽  
Ev Charging ◽  
Storage Property

The large scale development of electric vehicle will have both benefits and potential stresses on power grid. It is shown that uncoordinated charging of EVs’ on the grid will produce series of problems, while intelligent charging can improve the operation of the power grid. In this study, based on several scenarios of charging modes, such as plug and charge, night charging and intelligent charging, the corresponding EV load models have been established. Therefore, an analysis is performed for the load characteristics of Shandong power grid to demonstrate the impacts of different EV charging scenarios. The results demonstrate that rational utilization of EVs’ load and energy storage property can help to decrease the maximum load of grid and the peak-valley difference, to stable load, and to raise the utilization of the power facilities.

scholarly journals Sustainable Electric Vehicle Transportation

2021 ◽  
Vol 13 (22) ◽  
pp. 12379
Author(s):  
Raymond Kene ◽  
Thomas Olwal ◽  
Barend J. van Wyk
Keyword(s):  
Electric Vehicle ◽  
Energy Demand ◽  
Large Scale ◽  
Common Knowledge ◽  
Distribution Network ◽  
Electricity Grid ◽  
Current State ◽  
The World ◽  
The Impact ◽  
Ev Charging

The future direction of electric vehicle (EV) transportation in relation to the energy demand for charging EVs needs a more sustainable roadmap, compared to the current reliance on the centralised electricity grid system. It is common knowledge that the current state of electricity grids in the biggest economies of the world today suffer a perennial problem of power losses; and were not designed for the uptake and integration of the growing number of large-scale EV charging power demands from the grids. To promote sustainable EV transportation, this study aims to review the current state of research and development around this field. This study is significant to the effect that it accomplishes four major objectives. (1) First, the implication of large-scale EV integration to the electricity grid is assessed by looking at the impact on the distribution network. (2) Secondly, it provides energy management strategies for optimizing plug-in EVs load demand on the electricity distribution network. (3) It provides a clear direction and an overview on sustainable EV charging infrastructure, which is highlighted as one of the key factors that enables the promotion and sustainability of the EV market and transportation sector, re-engineered to support the United Nations Climate Change Agenda. Finally, a conclusion is made with some policy recommendations provided for the promotion of the electric vehicle market and widespread adoption in any economy of the world.

Research on EV Ordered Charging Considering TOU Price

2013 ◽  
Vol 448-453 ◽  
pp. 3147-3153
Author(s):  
Mai Zhang ◽  
Cai Hong Zhao ◽  
Li Juan Tan ◽  
Li Liu ◽  
Lu Lu Chen
Keyword(s):  
Large Scale ◽  
User Behavior ◽  
User Behavior Analysis ◽  
User Charge ◽  
Charging Mode ◽  
Simulation Results ◽  
Grid Operation ◽  
The Cost ◽  
Load Stability ◽  
Ev Charging

Large-scale of electric vehicles (EVs) for charging will affect grid operation, disordered charging will have significant impact on the grid. This paper presents ordered charging mathematical model considering the smallest charging fees for EV users, a genetic algorithm is used to get optimization solutions. Monte Carlo method is used to simulate EV charging user behavior, analysis of disordered and ordered charging simulation results are compared under different charging mode. Simulation results show that ordered charging has huge roles in reducing the cost of user charge, reducing the peak-valley difference, improving load stability and users satisfaction. The results of example show the rationality of this model and algorithm.

Discussion on the Mode of Electric Vehicle Power Supply Infrastructures Construction and Operation in China

2011 ◽  
Vol 347-353 ◽  
pp. 3902-3907
Author(s):  
Liang Liang Chen ◽  
Ming Wu ◽  
Hao Zhang ◽  
Xiao Hua Ding ◽  
Jin Da Zhu
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Power Supply ◽  
Energy Supply ◽  
Large Scale ◽  
Operation Mode ◽  
Charging Station ◽  
Combination Mode ◽  
Ev Charging

The energy supply infrastructures construction is the prerequisite and basis for the large-scale promotion and application of electric vehicles (EVs). The characteristics and current construction situation of several EV power supply infrastructures in China such as AC charging spot, charging station and battery swap station are introduced first, and the characteristics of time combination mode and space combination mode for the construction of EV charging facilities are also discussed. Meanwhile, the features of operation mode for EV power supply infrastructures in different developing stage of are analyzed, and the main bodies for EV power supply infrastructures construction are also introduced.

scholarly journals Charging Load Allocation Strategy of EV Charging Station Considering Charging Mode

2019 ◽  
Vol 10 (2) ◽  
pp. 47 ◽  
Author(s):  
Yutong Zhao ◽  
Hong Huang ◽  
Xi Chen ◽  
Baoqun Zhang ◽  
Yiguo Zhang ◽  
...  
Keyword(s):  
Large Scale ◽  
Allocation Strategy ◽  
Charging Station ◽  
Charging Mode ◽  
Grid Load ◽  
Coordinated Charging ◽  
Charging Stations ◽  
Additional Service ◽  
Ev Charging ◽  
Scale Grid

A charging load allocation strategy for Electric Vehicles (EVs) considering charging mode is proposed in this paper in order to solve the challenge and opportunity of large-scale grid-connected charging under the background of booming EV industry in recent years. Based on the peak-to-valley Time-of-Use (TOU) price, this strategy studies the grid load, charging cost and charging station revenue variation of EVs connected to the grid in different charging modes. In addition, this paper proposes an additional charging mechanism for charging stations to encourage EV owners to participate in the peak and valley reduction of the grid through coordinated charging. According to the example analysis, under the same charging demand conditions, the larger EV charging power will have a greater impact on the grid than the conventional charging power. This article collects additional service fees for car owners who are not involved in the coordinated charging. When the response charging ratio is less, the more total service charges are charged, which can compensate for the decline in the sales revenue of the charging station during the valley period. While having good economy, it can also encourage the majority of car owners to participate in the coordinated charging from the perspective of charging cost.

The Construction and the Management of Electric Vehicle Charging Network

2011 ◽  
Vol 128-129 ◽  
pp. 1093-1096
Author(s):  
Xiang Fu ◽  
Jia Yao
Keyword(s):  
Electric Vehicle ◽  
Large Scale ◽  
Peak Load ◽  
Network Planning ◽  
Network Construction ◽  
Station Network ◽  
Charging System ◽  
Electric Vehicle Charging ◽  
Ev Charging

Firstly, this paper proposed that charging network for Electric Vehicle (EV) should be consisted of the special motorcade charging system and general charging system mainly, and the emergency charging system auxiliary. This paper put forward the suggestions that EV charging network construction should carry on with EV development synchronization, give full play to advantages of dispersion charging, charging avoiding peak load and charge in valley load, instead of laying a large-scale charge-station network. Secondly, this paper discussed the construction and the management of charging network, focused on the network planning, charging standards, and the role of power enterprises. Finally, the pattern of charging operation and the management is chosen, three kinds of patterns are proposed to different periods and users, the centralism charging management pattern, the dispersion charging and centralism maintenance pattern, as well as the battery renting pattern.

Charging Characteristics of Electric Vehicles and Charging Cost Analysis

2014 ◽  
Vol 953-954 ◽  
pp. 1363-1366
Author(s):  
Xiao Lu Wang
Keyword(s):  
Cost Analysis ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Electric Vehicle Charging ◽  
Charging Time ◽  
Charging Mode ◽  
Vehicle Charging ◽  
Generator Sets ◽  
Fuel Costs

This paper investigates the “Vehicle-charging mode” and the “Battery-changing mode” of the electric vehicles. Firstly, it analyzes the vehicle-charging time, the battery-changing time and the charging power under two modes. Secondly, this paper searches into different sorts of charging and sets up three scenarios based on the differences: scenario1, disorderly; scenario2, continuous; scenario 3, off-peak. Thirdly, this paper considers the combination of generator sets that reaches the requirements of electric vehicle charging based on the characteristics of different sorts of charging, concerns the increased fuel costs, O&M costs and start cost generated along, and draws conclusions with the comparison of the elements.

scholarly journals Self-Sustainable off grid Electric Vehicle (EV) Charging Station with Integration of Renewable Sources

2020 ◽  
Vol 9 (3) ◽  
pp. 2669-2674
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Large Scale ◽  
Transport Systems ◽  
Diesel Generator ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Power Generation Technology ◽  
Charging Stations ◽  
Ev Charging

Electric Vehicles (EV) are the world’s future transport systems. With the rise in pollutions and its effects on the environment, there has been a large scale movetowards electrical vehicles. But the plug point availability for charging is the serious problem faced by the mostof Electric Vehicle consumers. Therefore, there is a definite need to move from the GRID based/connected charging stations to standalone off-grid stations for charging the Electric Vehicles. The objective of this paper is to arrive at the best configuration or mix of the renewable resources and energy storage systems along with conventional Diesel Generator set which together works in offgrid for Electric Vehicle charging. As aconclusion, by utilizing self-sustainable off-grid power generation technology, the availability of EV charging stations in remote localities at affordable price can be made and mainly it reduces burden on the existing electrical infrastructure.

scholarly journals Research on electric vehicle load forecasting based on travel data

2021 ◽  
Vol 257 ◽  
pp. 01017
Author(s):  
Lin Xu ◽  
Bing Wang ◽  
Mingxi Cheng ◽  
Shangshang Fang
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Large Scale ◽  
Simulation Analysis ◽  
Load Forecasting ◽  
Charging Station ◽  
Demand Distribution ◽  
Electric Vehicle Charging ◽  
Other Information ◽  
Vehicle Charging

Due to the rapid promotion of electric vehicles, large-scale charging behavior of electric vehicles brings a large number of time and space highly random charging load, which will have a great impact on the safe operation of distribution network. This paper proposes a planning method of electric vehicle charging station based on travel data. Firstly, the didi trip data is processed and mined to get the trip matrix and other information. Then, the electric vehicle charging load forecasting model is established based on the established unit mileage power consumption model and charging model, and the charging demand distribution information is predicted by Monte Carlo method. Finally, the simulation analysis is carried out based on the trip data of some areas of a city, which shows the effectiveness of the established model feasibility.

Study on the Regularity of EVs' Charging and Discharging Group Behaviors

2013 ◽  
Vol 860-863 ◽  
pp. 1173-1180
Author(s):  
Yu Zhang ◽  
Chen Fang ◽  
Jian Lin Yang ◽  
Shao Peng Liu
Keyword(s):  
Simulation Model ◽  
Electric Vehicles ◽  
Large Scale ◽  
Specific Behavior ◽  
Charging Time ◽  
Economic Operation ◽  
Charging Mode ◽  
The Impact ◽  
At Home

The large scale application of EVs (electric vehicles) is an inevitable trend at home and abroad. When lots of EVs are plugged into the grid, the impact of their charging load on the grid is not negligible; while the development of V2G technology allows EVs to discharge to the grid, it provides an opportunity for improving the safety and economic operation of the grid. The paper models the specific behavior features of the bus and private EVs from the mileage, charging mode and charging time three aspects. MATLAB is used for programming, and EVs sample are randomly selected. The EVs charging and discharging behavior probability is analyzed to determine the simulation model. Last, by the practical example, the impact of EVs charging and discharging behavior on the grid is calculated, and conclusions that match the reality can be drawn.

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