Fast Convergence in Electric Vehicle Smart Charging

2018 ◽  
pp. 123-139
Author(s):  
Sergio Grammatico
Keyword(s):  
Electric Vehicle ◽  
Fast Convergence ◽  
Smart Charging

Smart Charging of Electric Vehicle

2020 ◽  
Author(s):  
Akshada Jadhav ◽  
Ganesh Ghorpade ◽  
Nayan Kanthikar ◽  
Nitesh Anwat
Keyword(s):  
Electric Vehicle ◽  
Smart Charging

scholarly journals Smart charging for electric vehicles to minimise charging cost

2017 ◽  
Vol 231 (6) ◽  
pp. 526-534 ◽  
Author(s):  
Yue Wang ◽  
David Infield ◽  
Simon Gill
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Distribution System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Low Voltage ◽  
Wholesale Price ◽  
Heuristic Method ◽  
Domain Model ◽  
Smart Charging

This paper assumes a smart grid framework where the driving patterns for electric vehicles are known, time variations in electricity prices are communicated to householders, and data on voltage variation throughout the distribution system are available. Based on this information, an aggregator with access to this data can be employed to minimise electric vehicles charging costs to the owner whilst maintaining acceptable distribution system voltages. In this study, electric vehicle charging is assumed to take place only in the home. A single-phase Low Voltage (LV) distribution network is investigated where the local electric vehicles penetration level is assumed to be 100%. Electric vehicle use patterns have been extracted from the UK Time of Use Survey data with a 10-min resolution and the domestic base load is generated from an existing public domain model. Apart from the so-called real time price signal, which is derived from the electricity system wholesale price, the cost of battery degradation is also considered in the optimal scheduling of electric vehicles charging. A simple and effective heuristic method is proposed to minimise the electric vehicles’ charging cost whilst satisfying the requirement of state of charge for the electric vehicles’ battery. A simulation in OpenDSS over a period of 24 h has been implemented, taking care of the network constraints for voltage level at the customer connection points. The optimisation results are compared with those obtained using dynamic optimal power flow.

scholarly journals Electric vehicle dispatching in smart charging station: a pricing strategy

2021 ◽  
Vol 675 (1) ◽  
pp. 012163
Author(s):  
Xuliang Zhao ◽  
Jiguang Xue ◽  
Tong Wu ◽  
Hong Xue ◽  
Sitong Dong ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Pricing Strategy ◽  
Vehicle Dispatching ◽  
Charging Station ◽  
Smart Charging

scholarly journals Electric Vehicle Charging Strategy for Isolated Systems with High Penetration of Renewable Generation

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3188 ◽  
Author(s):  
Jean-Michel Clairand ◽  
Javier Rodríguez-García ◽  
Carlos Álvarez-Bel
Keyword(s):  
Electric Vehicle ◽  
Co2 Emissions ◽  
Fossil Fuels ◽  
Renewable Energy Sources ◽  
Electric Vehicle Charging ◽  
High Penetration ◽  
Smart Charging ◽  
Vehicle Charging ◽  
Installed Capacity ◽  
Charging Strategy

Inhabited islands depend primarily on fossil fuels for electricity generation and they also present frequently a vehicle fleet, which result in a significant environmental problem. To address this, several governments are investing in the integration of Renewable Energy Sources (RESs) and Electric Vehicles (EVs), but the combined integration of them creates challenges to the operation of these isolated grid systems. Thus, the aim of this paper is to propose an Electric Vehicle charging strategy considering high penetration of RES. The methodology proposes taxing CO2 emissions based on high pricing when the electricity is mostly generated by fossil fuels, and low pricing when there is a RES power excess. The Smart charging methodology for EV optimizes the total costs. Nine scenarios with different installed capacity of solar and wind power generation are evaluated and compared to cases of uncoordinated charging. The methodology was simulated in the Galapagos Islands, which is an archipelago of Ecuador, and recognized by the United Nations Educational, Scientific and Cultural Organization (UNESCO) as both aWorld Heritage site and a biosphere reserve. Simulations results demonstrate that the EV aggregator could reduce costs: 7.9% for a case of 5 MW installed capacity (wind and PV each), and 7% for a case of 10 MW installed (wind and PV each). Moreover, the use of excess of RES power for EV charging will considerably reduce CO2 emissions

Electric Vehicle Smart Charging to Maximize Renewable Energy Usage in a Single Residence

2021 ◽  
Author(s):  
Kartik V. Sastry ◽  
Thomas F. Fuller ◽  
Santiago Grijalva ◽  
David G. Taylor ◽  
Michael J. Leamy
Keyword(s):  
Renewable Energy ◽  
Electric Vehicle ◽  
Energy Usage ◽  
Smart Charging

scholarly journals Evaluation of the Effects of Smart Charging Strategies and Frequency Restoration Reserves Market Participation of an Electric Vehicle

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3112 ◽  
Author(s):  
Fabian Rücker ◽  
Michael Merten ◽  
Jingyu Gong ◽  
Roberto Villafáfila-Robles ◽  
Ilka Schoeneberger ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Control Unit ◽  
Automatic Frequency ◽  
Net Return ◽  
Electricity Cost ◽  
Electric Vehicle Charging ◽  
Self Sufficiency ◽  
Smart Charging ◽  
Frequency Restoration Reserve ◽  
The Impact

The emergence of electric vehicles offers the opportunity to decarbonize the transportation and mobility sector. With smart charging strategies and the use of electricity generated from renewable sources, electric vehicle owners can reduce their electricity bill as well as reduce their carbon footprint. We investigated smart charging strategies for electric vehicle charging at household and workplace sites with photovoltaic systems. Furthermore, we investigated the participation of an electric vehicle in the provision of positive automatic frequency restoration reserve (aFRR) in Germany from 30 October 2018 to 31 July 2019. We find that the provision of positive aFRR in Germany returns a positive net return. The positive net return is, however, not sufficient to cover the current investment cost for a necessary control unit. For home charging, we find that self-sufficiency rates of up to 48.1% and an electricity cost reduction of 17.6% for one year can be reached with unidirectional smart charging strategies. With bidirectional strategies, self-sufficiency rates of up to 56.7% for home charging and electricity cost reductions of up to 26.1% are reached. We also find that electric vehicle (EV) owners who can charge at their workplace can reduce their electricity cost further. The impact of smart charging strategies on battery aging is also discussed.

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