Electric Load Forecasting of Electric Vehicles in Charging

2014 ◽  
Vol 672-674 ◽  
pp. 1165-1168
Author(s):  
Wei Liu ◽  
Tao Wei ◽  
Ming Xin Zhao ◽  
Dan Xu ◽  
Chao Gao
Keyword(s):  
Electric Vehicles ◽  
Peak Load ◽  
Impact Factors ◽  
Electric Load ◽  
Load Curve ◽  
Total Load ◽  
Electricity Grid ◽  
Electric Cars ◽  
Market Management ◽  
The Impact

This paper forecast the electric load of the mass electric cars connected to the electric grid in charging and discharging; considered the inventory forecast of electric vehicles; comprehensive analyzed the charge and discharge characteristics of the electric cars’ charging infrastructures and the impact factors such as users’ behaviors as well as the using frequency, which lead to different load distribution at different times. It calculated the total load of electric vehicles into the load curve and the load curve of the characteristics under different regions (industrial, commercial and residential). Concludes that the mass electric cars connected to the electricity grid will increase the peak load of power grid, and lay the foundation for the subsequent market management and optimization control.

Impact of Peak and Valley Period Partition on Load Curve of Distribution System with EV

2013 ◽  
Vol 724-725 ◽  
pp. 1344-1349
Author(s):  
Zhen Fu Zhang ◽  
Xiao Qing Huang ◽  
Bo Xiao
Keyword(s):  
Electric Vehicles ◽  
Distribution System ◽  
Large Scale ◽  
Peak Load ◽  
Simulation Method ◽  
Time Instant ◽  
Start Time ◽  
Load Curve ◽  
Electric Vehicle Charging ◽  
The Impact

Large-scale adoption of electric vehicles may impose impact on grid. In order to formulate the appropriate scheme of time-of-use (TOU) to lower the adverse effect of charging load on the power grid, it is necessary to analyze the impact of the peak-valley period partition on the load curve of distribution system with electric vehicles. The electric vehicle charging load model considering TOU was built according to the statistics of the driving habits. Several scenarios were set according to different period partitions and the changes of the load at start time of valley period, numerical value and moment of peak load and peak-valley differences were analyzed with the Monte Carlo simulation method under those scenarios. The simulation results show that the farther between the time instant of peak load and start moment of valley period the less impact it has on load curve of distribution system.

The impact of global trends on the electric vehicle market in Russia: Challenges, opportunities and directions of development

2021 ◽  
Vol 17 (5) ◽  
pp. 913-939
Author(s):  
Tat'yana S. REMIZOVA ◽  
Dmitrii B. KOSHELEV
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Carbon Footprint ◽  
Renewable Energy Sources ◽  
Economic Security ◽  
Vehicle Development ◽  
Global Trends ◽  
Electric Cars ◽  
Positive Effects ◽  
The Impact

Subject. The article reviews various transport electrification scenarios, which would help reduce the CO2 emissions and environmental threats. The environmental and economic security can also be affected if the State insufficiently understands the importance of electric vehicle development, their popularization. It is also crucial to encourage the consumption, develop the infrastructure, innovative projects, which reshape the power engineering structure. Objectives. We determine how global trends influence the production and integration of electric vehicles in Russia. We also evaluate the environmental and cost effectiveness of morot vehicle electrification, opportunities and trajectories for the electric vehicle development nationwide. Methods. The study involves methods used to summarize regulatory, empirical and theoretical data, and general and partial scientific methods and techniques, such as abstraction, analysis, analogy, etc. Results. The article shows the extent of electric transport development worldwide, and focuses on environmental issues and opportunities to reduce the carbon footprint by using electric vehicles and renewable energy sources. We point out opportunities, threats, prospects and disadvantages of the electric vehicle use in Russia. The article indicates how the use of electric cars can be developed in Russia, considering changes in the production structure and the generation of positive effects as much as possible. Conclusions. Currently, Russia evidently lags behind the global production and use of electric cars, without having a priority of the carbon footprint reduction. The strategy for the car segment advancement is underdeveloped. Suggested herein, the ideas for the electric car segment development are aimed to encourage the consumption, production, advancement of infrastructure and innovative projects, and ensure the environmental security of the country.

scholarly journals Analysis of Electric Vehicles Efficiency and their Influence on Environmental Pollution

2019 ◽  
Vol 26 (4) ◽  
pp. 97-104
Author(s):  
Mirosław Karczewski ◽  
Leszek Szczęch ◽  
Filip Polak ◽  
Szymon Brodowski
Keyword(s):  
Electric Vehicles ◽  
Energy Production ◽  
Power Plants ◽  
Combustion Engine ◽  
Electricity Production ◽  
Exhaust Gas ◽  
Electricity Grid ◽  
Gas Cleaning ◽  
Electric Cars ◽  
Exhaust Gas Cleaning

AbstractElectric vehicles are increasingly present on the roads of the whole world. They have the opinion of ecological vehicles, not polluting the environment. Society is more and more often persuaded to buy electric cars as an environmentally friendly solution but is this for sure? Electric cars need quite a lot of electricity accumulated in batteries to drive on a long range. During the charging process, this energy is obtained from the electricity network, to where it is supplied by power plant. Electricity production from renewable sources is a privilege for the rare. However, electric cars are charged from the electricity grid, which in large part energy comes from non-renewable fuels. The efficiency of energy production in power plants and the energy transmission and conversion chain causes that only part of the energy produced in this way goes to the vehicle’s wheels. Although the power plants are equipped with more and more efficient exhaust gas cleaning systems, they do not clean them up to 100%. Sulphur, nitrogen, mercury and heavy metals remain in the exhaust. The article is an attempt to answer the question whether the total emission of toxic components associated with the use of an electric vehicle is not bigger than in a traditional internal combustion engine.

scholarly journals Impact of Development of Infrastructure for Charging Electric Vehicles on Power Demand in the National Power System

2019 ◽  
Vol 29 (1) ◽  
pp. 66-91 ◽  
Author(s):  
Łukasz Szabłowski ◽  
Paweł Bralewski
Keyword(s):  
Power System ◽  
Electric Vehicles ◽  
Calculation Model ◽  
Distribution Area ◽  
Legal Environment ◽  
Power Demand ◽  
Technical Process ◽  
Electric Cars ◽  
National Power ◽  
The Impact

Abstract The following paper focuses on the electric vehicles sector development and its possible influence on power system load in Poland. The goal is to estimate the increase of power demand resulting from the electric cars charging. First of all, the current legal environment, which provides a framework for the e-mobility sector evolution, was described. Furthermore, the technical process of electric vehicles charging was depicted and the applicable methods of cooperation between e-mobility and power system were proposed. The quantitative analysis of the impact of the electric vehicles charging on the power demand in the National Power System was conducted. The input data and adopted assumption were specified. The structure of the calculation model and the differences between analyzed scenarios were described. The outcome obtained for the National Power System and Warsaw distribution area were presented.

scholarly journals A Novel Charging and Discharging Algorithm of Plug-in Hybrid Electric Vehicles Considering Vehicle-to-Grid and Photovoltaic Generation

2019 ◽  
Vol 10 (4) ◽  
pp. 61
Author(s):  
Ahmed Aljanad ◽  
Azah Mohamed ◽  
Tamer Khatib ◽  
Afida Ayob ◽  
Hussain Shareef
Keyword(s):  
Electric Vehicles ◽  
Control Algorithm ◽  
Peak Load ◽  
Distribution Networks ◽  
Management Control ◽  
Photovoltaic Generation ◽  
Technical Problems ◽  
Vehicle To Grid ◽  
Fast Charging ◽  
The Impact

Considering, the high penetration of plug-in electric vehicles (PHEVs), the charging and discharging of PHEVs may lead to technical problems on electricity distribution networks. Therefore, the management of PHEV charging and discharging needs to be addressed to coordinate the time of PHEVs so as to be charged or discharged. This paper presents a management control method called the charging and discharging control algorithm (CDCA) to determine when and which of the PHEVs can be activated to consume power from the grid or supply power back to grid through the vehicle-to-grid technology. The proposed control algorithm considers fast charging scenario and photovoltaic generation during peak load to mitigate the impact of the vehicles. One of the important parameters considered in the CDCA is the PHEV battery state of charge (SOC). To predict the PHEV battery SOC, a particle swarm optimization-based artificial neural network is developed. Results show that the proposed CDCA gives better performance as compared to the uncoordinated charging method of vehicles in terms of maintaining the bus voltage profile during fast charging.

Research of Time-of-Use Tariff Considering Electric Vehicles Charging Demands

2014 ◽  
Vol 953-954 ◽  
pp. 1354-1358
Author(s):  
Wen Chen ◽  
Chun Lin Guo ◽  
Zong Feng Li ◽  
Dong Ming Jia ◽  
Jun Chen ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Large Scale ◽  
Peak Load ◽  
Optimal Solution ◽  
Daily Cost ◽  
Load Curve ◽  
System Operator ◽  
New Challenges ◽  
Ev Charging ◽  
Daily Load

With the large-scale EV(electric vehicle) integrating into the power system, new challenges has been brought to the planning as well as the security of the network. There will be a great impact on the system if the system operator ignores the vast quantity of EV charging at the same. Thus, taking measures, e.g. the multiple tariff, is of vital importance to give the guidance to the EV owners to charging wisely to save the daily cost on charging, as well as reduce the gap between peak load and valley load. A model for TOU has been presented in this paper. In the model , an objective function is declared to describe the purpose of TOU, and the optimal solution is gained according to the response of EV when the price of electricity changes. Finally , a case based on the daily load curve of a certain place is calculated with the model in this paper.

scholarly journals THE IMPACT OF ELECTRIC VEHICLES ON SMART GRID

2021 ◽  
Vol 1335-8243 (1338-3957) ◽  
pp. 35-42
Author(s):  
Daniel PÁL ◽  
◽  
Ľubomír BEŇA ◽  
Maksym OLIINYK ◽  
◽  
...  
Keyword(s):  
Smart Grid ◽  
Electric Vehicles ◽  
Power Loss ◽  
Current Trend ◽  
Primary Objective ◽  
Active Power ◽  
Electric Grid ◽  
Electric Cars ◽  
The World ◽  
The Impact

This publication examines the impact of electric vehicles on the grid. Electric cars are becoming more and more popular in the world. The annual sales quantity of electric cars in the world has an upward trajectory which has some serious implications on the electric grid as well. Both passenger and freight transport are being influenced by this current trend. In addition to various methods of transport, electric cars have the potential to transform traditional grids into smart ones. The primary objective of this study is to examine to what extent the voltage at the nodes changes when electric cars are connected to the network and also sets out to provide us with some overview of the effects on active power loss in the network.

scholarly journals Local Balancing of the Electricity Grid in a Renewable Municipality; Analyzing the Effectiveness and Cost of Decentralized Load Balancing Looking at Multiple Combinations of Technologies

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4926
Author(s):  
F. Pierie ◽  
C. E. J. van Someren ◽  
S. N. M. Kruse ◽  
G. A. H. Laugs ◽  
R. M. J. Benders ◽  
...  
Keyword(s):  
Load Balancing ◽  
Peak Load ◽  
Production Capacity ◽  
Heat Pumps ◽  
Electricity Production ◽  
Electricity Grid ◽  
Electric Cars ◽  
Load Demand ◽  
Substantial Investment ◽  
Decentralized Load Balancing

With the integration of Intermitted Renewables Energy (I-RE) electricity production, capacity is shifting from central to decentral. So, the question is if it is also necessary to adjust the current load balancing system from a central to more decentral system. Therefore, an assessment is made on the overall effectiveness and costs of decentralized load balancing, using Flexible Renewable Energy (F-RE) in the shape of biogas, Demand Side Management (DSM), Power Curtailment (PC), and electricity Storage (ST) compared to increased grid capacity (GC). As a case, an average municipality in The Netherlands is supplied by 100% I-RE (wind and solar energy), which is dynamically modeled in the PowerPlan model using multiple scenarios including several combinations of balancing technologies. Results are expressed in yearly production mix, self-consumption, grid strain, Net Load Demand Signal, and added cost. Results indicate that in an optimized scenario, self-consumption of the municipality reaches a level of around 95%, the total hours per year production matches demand to over 90%, and overproduction can be curtailed without substantial losses lowering grid strain. In addition, the combination of balancing technologies also lowers the peak load to 60% of the current peak load in the municipality, thereby freeing up capacity for increased demand (e.g., electric heat pumps, electric cars) or additional I-RE production. The correct combination of F-RE and lowering I-RE production to 60%, ST, and PC are shown to be crucial. However, the direct use of DSM has proven ineffective without a larger flexible demand present in the municipality. In addition, the optimized scenario will require a substantial investment in installations and will increase the energy cost with 75% in the municipality (e.g., from 0.20€ to 0.35€ per kWh) compared to 50% (0.30€ per kWh) for GC. Within this context, solutions are also required on other levels of scale (e.g., on middle or high voltage side or meso and macro level) to ensure security of supply and/or to reduce overall costs.

Simulation Analysis on Dynamic Load of Air-Conditioning System of Ocean-Going Ship

2014 ◽  
Vol 672-674 ◽  
pp. 1693-1699 ◽  
Author(s):  
Zhong Chao Zhao ◽  
Hua Cheng ◽  
Wei Xian Feng ◽  
Bo Jin Qin
Keyword(s):  
Dynamic Load ◽  
Air Conditioning ◽  
Simulation Analysis ◽  
Mathematic Model ◽  
Maximum Load ◽  
Impact Factors ◽  
Analysis Method ◽  
Total Load ◽  
Air Conditioning System ◽  
The Impact

In this paper, a dynamic load mathematic model for ship’s multifunctional cabins was developed using the “black box model” theory. The multifunctional cabins’ dynamic loads for a ship navigating in a typical Eurasian route were calculated through this mathematic model. The research results show that the air-conditioning load of cabins varies with navigation areas and sailing time significantly. Ventilation load accounts for 51.92% of the total load, while heat conduction and radiation load only account for 7.47% and 6.68%, respectively. For a same navigating area, the maximum load for different cabins is 2.648 times of the minimum load at the same time. In addition, the impact factors were analyzed by regression analysis method, and that the 91.72% of variation of the dynamic load results from the outside temperature changing

Forecasting the Impact of Plug-In Hybrid Electric Vehicles Penetration on Ontario’s Electricity Grid

2010 ◽  
Author(s):  
Lena Ahmadi ◽  
Woramon Unbangluang ◽  
Eric Croiset ◽  
Ali Elkamel ◽  
Peter L. Douglas ◽  
...  
Keyword(s):  
Linear Regression ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Electricity Demand ◽  
Power Sources ◽  
Electricity Grid ◽  
Forecasting Models ◽  
Hybrid Electric ◽  
The Impact ◽  
Base Load

Vehicle emissions are a major concern in the development of new automobiles. Plug-in hybrid electric vehicles (PHEVs) have a large potential to reduce greenhouse gases emissions and increase fuel economy and fuel flexibility. PHEVs are propelled by the energy from both gasoline and electric power sources. Penetration of PHEVs into the automobile market affects the electrical grid and increasing the electricity demand has not been fully investigated. This paper studies effects of the wide spread adoption of PHEVs on peak and base load demands in Ontario, Canada. Long-term forecasting models of peak and base load demands and the number of light-duty vehicles sold are developed. To create proper forecasting models, both linear regression (LR) and non-linear regression (NLR) techniques are employed, considering different ranges in the demographic, climate and economic variables. The results from the LR and NLR models (LRM and NLRM) are compared and the most accurate one is selected. Furthermore, forecasting the effects of PHEVs penetration is done through consideration of various scenarios of penetration levels, such as mild, normal and aggressive ones. Finally, the additional electricity demand on the Ontario electricity grid from charging PHEVs is incorporated for electricity production planning purposes.

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