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Multi-objective Charging and Discharging Optimization of Electric Vehicles in Time-divided period Based on SOC Evolution

[ Vol. 13 , Issue. 4 ]

Author(s):

Ying Wang, Gang Ma*, Yixi Chen, Jian Zhang and Jiashu Wang   Pages 595 - 601 ( 7 )

Abstract:


Background: With the increase of Electric Vehicle (EV), their disordered charging behaviour will put great pressure on the stable operation of the distribution network.

Methods: In order to study the charging and discharging optimization scheme of EVs, firstly the EV charging and discharging load model is founded based on the Vehicle-to-Grid (V2G) technology.

Results: According to the electricity price mechanism of Shanxi Province, the paper proposes a multi-target charging and discharging optimization for EVs based on the evolution of EV State of Charge (SOC) using the Modified Particle Swarm Optimization (MPSO).

Conclusion: Compared with the disordered charging mode, the method proposed in this paper can simultaneously reduce the network loss of the distribution network and the cost of EV users.

Keywords:

Electric vehicle, charge and discharge optimization, SOC evolution, time-divided, MPSO, EV technology.

Affiliation:

School of NARI Electric and Automation Engineering, Nanjing Normal University, Nanjing, School of NARI Electric and Automation Engineering, Nanjing Normal University, Nanjing, School of NARI Electric and Automation Engineering, Nanjing Normal University, Nanjing, School of NARI Electric and Automation Engineering, Nanjing Normal University, Nanjing, School of NARI Electric and Automation Engineering, Nanjing Normal University, Nanjing

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