888 / 2019-04-30 13:42:09
Optimal Charging Strategy for Electric Vehicles Based on Hybrid Hierarchical Framework
Electric vehicles, charging strategy, MATsim, virtual battery aggregation, ADMM
Draft Accepted
This paper proposed a novel hybrid hierarchical strategy for electric vehicle (EV) charging. By synthesizing the strength of the two mainstream control strategies-centralized and decentralized control strategy, it divides the charging process into two levels with different optimal objectives. Considering the stochastic of the charging behavior, it deploys MATSim to simulate the driving patterns and aggregate the EV with similar driving patterns into a so-called Virtual Battery Aggregation (VBA) Model. To verify the effectiveness of the proposed method, an 18-bus system is simulated and 4 different control methods are compared and analysed regarding to peak hour node voltage, line load, and daily load curve.
Important Date
  • Conference Date

    Oct 21

    2019

    to

    Oct 24

    2019

  • Oct 13 2019

    Abstract Notification of Acceptance

  • Oct 13 2019

    Draft paper submission deadline

  • Oct 14 2019

    Draft Paper Acceptance Notification

  • Oct 24 2019

    Registration deadline

  • Oct 29 2019

    Final Paper Deadline

Organized By
Xi'an Jiaotong University
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