Influence of electric vehicle charging rates on transformer derating in harmonic-rich battery charger applications

2012 ◽  
Vol 61 (4) ◽  
pp. 483-497 ◽  
Author(s):  
Hessamoddin Jouybari-Moghaddam
Keyword(s):  
Real Time ◽  
Electric Vehicle ◽  
Fixed Time ◽  
Test System ◽  
Test Results ◽  
Battery Charger ◽  
Battery Charging ◽  
Electric Vehicle Charging ◽  
Distribution Transformers ◽  
Ev Charging

Abstract A study on plug-in electric vehicle (PEV) charging load and its impacts on distribution transformers loss-of-life, is presented in this paper. The assessment is based on residential PEV battery charging. As the exact forecasting of the charging load is not possible, the method for predicting the electric vehicle (EV) charging load is stochastically formulated. With the help of the stochastic model, the effect of fixed, time of use, and real-time charging rates on the charging load and the resultant impact on transformer derating is investigated. A 38-bus test system is adopted as the test system including industrial harmonic sources. Test results demonstrate that uncontrolled EV charging might causes a noticeable change in the K-factor of the transformer, emerging the need for derating, while applying real-time rates for battery charging loads conquers this problem even in case of harmonic-rich chargers.

Research and Implementation of Temperature-Rise Test System for Electric Vehicle Charging Coupler

2013 ◽  
Vol 333-335 ◽  
pp. 2327-2332
Author(s):  
Xuan Zhang ◽  
Zhi Ming Li ◽  
Xu Ling Li
Keyword(s):  
Electric Vehicle ◽  
Temperature Rise ◽  
Virtual Instrument ◽  
Critical Factor ◽  
Test System ◽  
Current Data ◽  
Time Data ◽  
Data Preservation ◽  
Electric Vehicle Charging ◽  
Ev Charging

The safety performance of Electric Vehicle (EV) charging equipments during the charging process will be the critical factor to the development of EVs Industry. Because of the high investment costs and the low accuracy of temperature-rise test system for EV charging coupler, a new remote test system including virtual instrument LabVIEW technology and communication transformation technology is applied to practical work. One temperature-rise test system designed for EV charging coupler is shown in this paper. With the advantages of LabVIEW as graphic programming and multithreading, real-time data acquisition, on-line monitoring and dynamic data preservation can be achieved by this temperature-rise test system. This test system simulates the change status of current data and makes a comprehensive research and evaluation temperature-rise characteristics of the charging coupler by analyzing the collected parameters and historical data when charging for EV.

scholarly journals A Novel Power Market Mechanism Based on Blockchain for Electric Vehicle Charging Stations

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 307
Author(s):  
Zhaoxiong Huang ◽  
Zhenhao Li ◽  
Chun Sing Lai ◽  
Zhuoli Zhao ◽  
Xiaomei Wu ◽  
...  
Keyword(s):  
Social Welfare ◽  
Real Time ◽  
Electric Vehicle ◽  
Peak Load ◽  
Market Mechanism ◽  
Double Auction ◽  
Energy Trading ◽  
Charging System ◽  
Electric Vehicle Charging ◽  
System Operator

This work presents a novel blockchain-based energy trading mechanism for electric vehicles consisting of day-ahead and real-time markets. In the day-ahead market, electric vehicle users submit their bidding price to participate in the double auction mechanism. Subsequently, the smart match mechanism will be conducted by the charging system operator, to meet both personal interests and social benefits. After clearing the trading result, the charging system operator uploads the trading contract made in the day-ahead market to the blockchain. In the real-time market, the charging system operator checks the trading status and submits the updated trading results to the blockchain. This mechanism encourages participants in the double auction to pursue higher interests, in addition to rationally utilize the energy unmatched in the auction and to achieve the improvement of social welfare. Case studies are used to demonstrate the effectiveness of the proposed model. For buyers and sellers who successfully participate in the day-ahead market, the total profit increase for buyer and seller are 22.79% and 53.54%, respectively, as compared to without energy trading. With consideration of social welfare in the smart match mechanism, the peak load reduces from 182 to 146.5 kW, which is a 19.5% improvement.

Real-time multi-objective optimisation for electric vehicle charging management

2021 ◽  
Vol 292 ◽  
pp. 126066
Author(s):  
Ridoy Das ◽  
Yue Wang ◽  
Krishna Busawon ◽  
Ghanim Putrus ◽  
Myriam Neaimeh
Keyword(s):  
Real Time ◽  
Electric Vehicle ◽  
Multi Objective ◽  
Electric Vehicle Charging ◽  
Vehicle Charging

scholarly journals Leveraging User Preferences to Develop Profitable Business Models for Electric Vehicle Charging

2021 ◽  
Vol 12 (2) ◽  
pp. 60
Author(s):  
Felix Röckle ◽  
Thimo Schulz
Keyword(s):  
Case Studies ◽  
Electric Vehicle ◽  
Business Models ◽  
Brand Image ◽  
User Preferences ◽  
Value Network ◽  
Electric Vehicle Charging ◽  
Utility Companies ◽  
Physical Assets ◽  
Ev Charging

To design profitable business models for electric vehicle (EV) charging it is necessary to understand user preferences. For this purpose, prior literature is analyzed to develop a conceptual framework linking a company’s assets, the surrounding value network, and user preferences. Then, survey insights from two EV charging projects (ultra-E, SLAM) are summarized to illustrate user preferences in this area. Based on this data, the framework is eventually visualized by applying it to four case studies from the EV charging market. Based on the case studies, the following six key findings are derived: 1. Companies that have a very strong position in one of the three resource classes that define the quality-of-service provision (physical assets, digital assets, brand image) demand a higher price for fast charging. 2. Utility companies leverage their existing customer base. 3. New to the industry firms leverage their brand image to enter the market. 4. Selling below cost is not sustainable. 5. Sharp price distinctions reflect the power balance within the value network. 6. Power plays may result in a fragmented market.

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