Optimal Planning of Charging for Plug-In Electric Vehicles Focusing on Users’ Benefits

Su Su, Hao Li and David Wenzhong Gao
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Su Su: National Active Distribution Network Technology Research Center, Beijing Jiaotong University, Beijing 100044, China
Hao Li: National Active Distribution Network Technology Research Center, Beijing Jiaotong University, Beijing 100044, China
David Wenzhong Gao: Department of Electrical and Computer Engineering, University of Denver, Denver, CO 80210, USA

Energies, 2017, vol. 10, issue 7, 1-15

Abstract: Many electric vehicles’ (EVs) charging strategies were proposed to optimize the operations of the power grid, while few focus on users’ benefits from the viewpoint of EV users. However, low participation is always a problem of those strategies since EV users also need a charging strategy to serve their needs and interests. This paper proposes a method focusing on EV users’ benefits that reduce the cost of battery capacity degradation, electricity cost, and waiting time for different situations. A cost model of battery capacity degradation under different state of charge ( SOC ) ranges is developed based on experimental data to estimate the cost of battery degradation. The simulation results show that the appropriate planning of the SOC range reduces 80% of the cost of battery degradation, and the queuing theory also reduces over 60% of the waiting time in the busy situations. Those works can also become a premise of charging management to increase the participation. The proposed strategy focusing on EV users’ benefits would not give negative impacts on the power grid, and the grid load is also optimized by an artificial fish swarm algorithm (AFSA) in the solution space of the charging time restricted by EV users’ benefits.

Keywords: electric vehicle; cost model of battery degradation; charging management; optimal scheduling; load control; Monte Carlo (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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