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author:

Zeng, Xiangyong (Zeng, Xiangyong.) [1] | Zheng, Wendi (Zheng, Wendi.) [2] (Scholars:郑文迪)

Indexed by:

EI

Abstract:

This paper presents an optimal dispatching model for the charging problem of massive electric vehicles (EVs) connected to the power grid, takes charging discount to incent EVs’ owners, and the benefits of power grid and electric vehicle aggregators (EVAs) are both token into consideration. The EVs’ cluster charging model is established to avoid the dimension explosion of variables, then a new incentive mechanism based on charging discount is proposed, and the probabilistic model of owners’ willingness based on the Weber-Fechner Law of psychology under that mechanism is constructed to estimate the willingness of EVs’ owners. Then, the non-cooperative Stackelberg game model between power grid and EVAs is established to reduce the difference between the load peak and valley while balancing the benefits of EVAs and the power grid. Finally, an example based on the presented optimal dispatching model considering massive EVs is put forward, the result of example verify the validity and practicality of the proposed model in reducing the peak-valley difference while balancing the willingness of EVs’ owners and the benefits of EVAs. © 2021, Springer Nature Singapore Pte Ltd.

Keyword:

Balancing Charging (batteries) Electric power transmission networks Electric vehicles Landforms Strategic planning

Community:

  • [ 1 ] [Zeng, Xiangyong]School of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Zheng, Wendi]School of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China

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Source :

ISSN: 1876-1100

Year: 2021

Volume: 718

Page: 124-135

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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