Charging Navigation Strategy of Electric Vehicles Considering Time-of-Use Pricing

Author(s):  
Jing Huang ◽  
Xiuli Wang ◽  
Yifei Wang ◽  
Zhicheng Ma ◽  
Xianlong Chen ◽  
...  
Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 962 ◽  
Author(s):  
Wangyi Mo ◽  
Chao Yang ◽  
Xin Chen ◽  
Kangjie Lin ◽  
Shuaiqi Duan

Electric vehicles (EVs) have become an efficient solution to making a transportation system environmentally friendly. However, as the number of EVs grows, the power demand from charging vehicles increases greatly. An unordered charging strategy for huge EVs affects the stability of a local power grid, especially during peak times. It becomes serious under the rapid charging mode, in which the EVs will be charged fully within a shorter time. In contrast to regular charging, the power quality (e.g.,voltages deviation, harmonic distortion) is affected when multiple EVs perform rapid charging at the same station simultaneously. To reduce the impacts on a power grid system caused by rapid charging, we propose an optimal EV rapid charging navigation strategy based on the internet of things network. The rapid charging price is designed based on the charging power regulation scheme. Both power grid operation and real-time traffic information are considered. The formulated objective of the navigation strategy is proposed to minimize the synthetic costs of EVs, including the traveling time and the charging costs. Simulation results demonstrate the effectiveness of the proposed strategy.


2020 ◽  
Vol 56 (5) ◽  
pp. 5762-5774
Author(s):  
Xuecheng Li ◽  
Yue Xiang ◽  
Lin Lyu ◽  
Chenlin Ji ◽  
Qian Zhang ◽  
...  

2020 ◽  
Vol 10 (9) ◽  
pp. 3247 ◽  
Author(s):  
Qian Zhang ◽  
Yue Hu ◽  
Weiyu Tan ◽  
Chunyan Li ◽  
Zhuwei Ding

In order to solve the problem that the static peak-valley price for electric vehicles cannot truly reflect the relationship between electricity supply and demand, as well as the fact that the low utilization rate of renewable energy in the micro-grid, a dynamic time-of-use pricing strategy for electric vehicle charging considering user satisfaction degree is proposed, to achieve the goal of friendly charging for the micro-grid. Firstly, this paper researches the travel patterns of electric vehicles to establish the grid connection scenes and predict the controllable capacity of electric vehicles. Secondly, the charging preferences of different types of users are studied, and a comprehensive satisfaction degree model is set up to obtain different users’ charging strategies. Furthermore, the paper raises a pricing strategy on account of the dispatching requirements of the micro-grid, and realizes the effective dispatch of electric vehicle charging load based on price signals. Finally, we gain the dynamic time-of-use charging price, using the strategy proposed above, and the economic benefits brought to the micro-grid and electric vehicle users are analyzed, which validates the rationality and effectiveness of the pricing strategy.


Author(s):  
Duo Qiu ◽  
Xiongjun Zhang ◽  
Lei Zhang

AbstractTime-of-use price will be an important demand side management method as a supplement of administrative strategy, which could encourage the electric vehicles to change the charging behaviors. In this paper, for parking garage charging stations with photovoltaic power generation, a pricing model is proposed to encourage different consumers to participate in demand response by providing them with a list of price plans. Firstly, we introduce the system structure of the photovoltaic-assisted charging station. Afterwards, the pricing and dispatch model for the charging station is proposed, aiming to achieve maximum profit. The formulated objective for this model is to maximize the profit of selling electricity to electric vehicles and back to the grid, feed-in-tariffs revenue and parking revenue or to minimize charging station’s cost of purchasing electricity, while considering various electric vehicles demands. The decision variables for charging station include the time-of-use price, the rebate on parking fee and the charging/discharging power. To solve this model, the distributed alternating direction method of multipliers is adopted to determine the operational strategies of charging stations via local decision making and limited communication between adjacent charging stations. Finally, according to the simulation results, the optimal time-of-use pricing strategy for charging stations can play an important role in shaving the peak loads. Besides, the interconnected charging stations coordinated operation can enhance the overall system operational flexibility and reliability.


2014 ◽  
Author(s):  
Chi Ngo ◽  
Nora Newcombe ◽  
Ingrid Olson ◽  
Steven Weisberg

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