Plug-in electric vehicles charging with different electricity pricing strategies

2014 ◽  
Author(s):  
Bing Yang ◽  
Jianxiao Zou ◽  
Liying Li
Keyword(s):  
Electric Vehicles ◽  
Pricing Strategies ◽  
Electricity Pricing

scholarly journals Optimal Pricing Strategy of Electric Vehicle Charging Station for Promoting Green Behavior Based on Time and Space Dimensions

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Xiaomin Xu ◽  
Dongxiao Niu ◽  
Yan Li ◽  
Lijie Sun
Keyword(s):  
Electric Vehicles ◽  
Optimization Problems ◽  
Power Grid ◽  
Economic Benefits ◽  
Pricing Strategy ◽  
Optimal Pricing ◽  
Electricity Pricing ◽  
Optimal Pricing Strategy ◽  
Charging Stations ◽  
The Impact

Considering that the charging behaviors of users of electric vehicles (EVs) (including charging time and charging location) are random and uncertain and that the disorderly charging of EVs brings new challenges to the power grid, this paper proposes an optimal electricity pricing strategy for EVs based on region division and time division. Firstly, by comparing the number of EVs and charging stations in different districts of a city, the demand ratio of charging stations per unit is calculated. Secondly, according to the demand price function and the principle of profit maximization, the charging price between different districts of a city is optimized to guide users to charge in districts with more abundant charging stations. Then, based on the results of the zonal pricing strategy, the time-of-use (TOU) pricing strategy in different districts is discussed. In the TOU pricing model, consumer satisfaction, the profit of power grid enterprises, and the load variance of the power grid are considered comprehensively. Taking the optimization of the comprehensive index as the objective function, the TOU pricing optimization model of EVs is constructed. Finally, the nondominated sorting genetic algorithm (NSGA-II) is introduced to solve the above optimization problems. The specific data of EVs in a municipality directly under the Central Government are taken as examples for this analysis. The empirical results demonstrate that the peak-to-valley ratio of a certain day in the city is reduced from 56.8% to 43% by using the optimal pricing strategy, which further smooth the load curve and alleviates the impact of load fluctuation. To a certain extent, the problem caused by the uneven distribution of electric vehicles and charging stations has been optimized. An orderly and reasonable electricity pricing strategy can guide users to adjust charging habits, to ensure grid security, and to ensure the economic benefits of all parties.

scholarly journals Dynamic electricity pricing for electric vehicles using stochastic programming

Energy ◽  
2017 ◽  
Vol 122 ◽  
pp. 111-127 ◽  
Author(s):  
João Soares ◽  
Mohammad Ali Fotouhi Ghazvini ◽  
Nuno Borges ◽  
Zita Vale
Keyword(s):  
Stochastic Programming ◽  
Electric Vehicles ◽  
Electricity Pricing

scholarly journals The Impacts of Electric Vehicle Growth on Wholesale Electricity Prices in Wisconsin

2020 ◽  
Vol 11 (2) ◽  
pp. 32
Author(s):  
Megan Zielke ◽  
Adria Brooks ◽  
Gregory Nemet
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Rapid Growth ◽  
Electricity Pricing ◽  
Transmission Congestion ◽  
Electricity Prices ◽  
Electric Vehicle Charging ◽  
Marginal Prices ◽  
Locational Marginal Prices ◽  
The Impact

This work explores the impact of the rapid growth of plug-in electric vehicles on wholesale electricity pricing. Understanding electric vehicle impacts on the grid is important for the mid- and long-range planning of transmission owners, distribution utilities, and regional system operators. Current research in electric vehicles considers technology adoption projections and the infrastructure needed to support electric vehicle growth. This work considers how projected electric vehicle growth in the State of Wisconsin would impact the transmission congestion and wholesale electricity pricing in the year 2030. We find minimal impacts on electricity prices (<2%) even under rapid growth assumptions, in which EVs comprise 5% of all vehicles in 2030. The increases seen in hourly locational marginal prices (LMPs) due to projected electric vehicle growth are, on average, less than those seen in annual changes of historic electricity prices in Wisconsin. We do find moderate, relative increases in congestion prices (+16–32%), which could provide an opportunity to align electric vehicle charging schedules with times of low transmission congestion.

Centralized and Decentralized Pricing Strategies for Optimal Scheduling of Electric Vehicles

2022 ◽  
pp. 1-1
Author(s):  
Aastha Kapoor ◽  
Viresh Patel ◽  
Ankush Sharma ◽  
Abheejeet Mohapatra
Keyword(s):  
Electric Vehicles ◽  
Optimal Scheduling ◽  
Pricing Strategies

Charging and Discharging Control Strategy of Electric Vehicles Based on V2G Mode

2014 ◽  
Vol 953-954 ◽  
pp. 1413-1417
Author(s):  
Li Juan Tan ◽  
Cai Hong Zhao ◽  
Mai Zhang ◽  
Li Liu ◽  
Han Yi Li ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Power Grid ◽  
Electricity Pricing ◽  
Maximum Charge ◽  
Power Limits ◽  
Grid Load ◽  
Original Grid ◽  
The Impact ◽  
The Mathematical Model

With the popularity of electric vehicles, the impact of charging power on the original grid load is increasingly prominent. Electric vehicles can realize the benign interaction with power grid through the V2G technology. The mathematical model is solved with genetic algorithm in this paper based on the objective function as the minimization of daily charging cost. Constraint conditions such as maximum charge and discharge power limits and state of charge are considered. By analyzing the charge and discharge control of single car and the influence of electric vehicles’ charge and discharge on power grid, it is concluded that charge and discharge control strategy proposed in this paper can optimize the operation of the power grid and realize win-win situation of the user and the power grid with the time-of-use electricity pricing mechanism.

scholarly journals Optimised controlled charging of electric vehicles under peak power-based electricity pricing

2020 ◽  
Vol 3 (6) ◽  
pp. 751-759
Author(s):  
Toni Simolin ◽  
Kalle Rauma ◽  
Pertti Järventausta ◽  
Antti Rautiainen
Keyword(s):  
Electric Vehicles ◽  
Peak Power ◽  
Electricity Pricing

scholarly journals Charge for Less: An Analysis of Hourly Electricity Pricing for Electric Vehicles

2019 ◽  
Vol 10 (1) ◽  
pp. 6 ◽  
Author(s):  
Jeff Zethmayr ◽  
David Kolata
Keyword(s):  
Electric Vehicles ◽  
Environmental Sustainability ◽  
Dynamic Pricing ◽  
Capacity Utilization ◽  
Electricity Pricing ◽  
Distributed Energy ◽  
Flat Rate ◽  
Price Signals ◽  
Load Shape ◽  
Flat Rate Tariff

By motivating Electric Vehicle (EV) owners to charge their vehicles when power supply exceeds demand, dynamic pricing can improve system load shape and capacity utilization, reduce consumer costs, and cut pollution. We compare what perfectly rational EV drivers would pay to charge their vehicle on ComEd’s hourly pricing program with costs associated with the utility’s flat-rate energy price. We find that ComEd’s hourly pricing program would have saved EV owners significantly over its flat-rate tariff in both 2016 and 2017, with cost reductions from 52 percent to 59 percent. Using price signals to manage charging is almost certainly one of the best (and cheapest) strategies to implement in order to achieve the traditional regulatory goals of a safe, reliable, and affordable service while advancing system efficiency, enhancing environmental sustainability, and facilitating the integration of distributed energy resources.

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