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

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

Volume 13 , Issue 4 , 2020

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Graphical 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.

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Article Details

Year: 2020
Published on: 05 July, 2020
Page: [595 - 601]
Pages: 7
DOI: 10.2174/2352096512666190911144557
Price: $25

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