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User Guidance Based Matching Strategy for Electric Vehicle-Charging Pile in Condition of Real-time Electricity Price
Author:
Affiliation:

1.College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2.Shanghai Higher Institution Engineering Research Center of High Efficiency Application, Shanghai 200090, China

Abstract:

With the rapid increase of the amount of electric vehicles (EVs), the demand for battery charging and discharging is also increasing correspondingly, but the growth rate of infrastructure construction is still relatively slow. The current situation of more EVs than charging piles leads to the problem of unbalanced distribution of charging piles. Based on this problem and combined with the real-time demand of the market, a user guidance based matching strategy for EV-charging pile is proposed. Firstly, an allocation function is established from the view of energy aggregators and the information of available charging piles is generated. Secondly, an optimization function is established from the view of users to determine the geographical range of available charging piles. Finally, considering real-time electricity prices, EV users are encouraged to select appropriate charging piles for charging and discharging within the selected geographical range and effectively participate in power dispatch by updating subsidy fees. The simulation results show that on the premise of meeting market requirements, the matching strategy for EV-charging pile considers the two-way willingness of users and aggregators, and provides a decision basis for the rational distribution of charging piles.

Keywords:

Foundation:

This work is supported by National Natural Science Foundation of China (No. 51977127).

Get Citation
[1]LI Dongdong, DUAN Weiyi, LIN Shunfu, et al. User Guidance Based Matching Strategy for Electric Vehicle-Charging Pile in Condition of Real-time Electricity Price[J]. Automation of Electric Power Systems,2020,44(8):74-82. DOI:10.7500/AEPS20190726003
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History
  • Received:July 26,2019
  • Revised:December 05,2019
  • Adopted:
  • Online: April 23,2020
  • Published: