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

(E-pub Ahead of Print)

Author(s): Ying Wang, Gang Ma*, Yixi Chen, Jian Zhang, Jiashu Wang.

Journal Name: Recent Advances in Electrical & Electronic Engineering
Formerly Recent Patents on Electrical & Electronic Engineering

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

Method: 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.

Result: 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

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Article Details

(E-pub Ahead of Print)
DOI: 10.2174/2352096512666190911144557
Price: $95