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Optimization of Orderly Charge and Discharge Behavior of Electric Vehicles in Distribution Network Based on Data Mining

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 97))

Abstract

This article analyzes the influence of electric vehicles (EV) on the distribution network when charging and discharging as a distributed energy source. Based on big data mining technology, this paper studies the models and methods of optimal management of EV charging and discharging. Taking into account the impact of time-of-use electricity prices, developing a multi-objective function, one is to minimize the active power loss of the distribution network, and the other is to minimize the total cost of EV owners. Consider the restriction conditions such as electric power level ratio, discharge power limit, battery capacity limit and battery state of charge limit. Establish an orderly charging and discharging model of EV considering time-of-use electricity prices. Combine the Newton-Raphson method and the forward back-substitution method to solve the model, and obtain the optimal solution for the orderly charging and discharging of the EV.

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Acknowledgements

Thanks to Yang Xuan and Fangzhou Xu for their careful guidance during the writing of this article. Thanks to Zhenhan Zhou and Xintong Gu for their technical opinions on this article. Thanks to my husband for his love and support for me.

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Authors and Affiliations

  1. National Nuclear Power Planning and Design Institute Co., Ltd., Haidian District, Beijing, 100089, China

    Xiaojie Zhou, Fangzhou Xu, Xintong Gu & Yang Xuan

  2. Department of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang, Hebei, China

    Zhenhan Zhou

Authors
  1. Xiaojie Zhou
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  2. Fangzhou Xu
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  3. Zhenhan Zhou
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  4. Xintong Gu
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  5. Yang Xuan
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Editor information

Editors and Affiliations

  1. University of Sunderland, Sunderland, UK

    John Macintyre

  2. University of Shanghai for Science and Technology, Shanghai, China

    Jinghua Zhao

  3. Shenzhen University, Shenzen, China

    Xiaomeng Ma

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© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Zhou, X., Xu, F., Zhou, Z., Gu, X., Xuan, Y. (2022). Optimization of Orderly Charge and Discharge Behavior of Electric Vehicles in Distribution Network Based on Data Mining. In: Macintyre, J., Zhao, J., Ma, X. (eds) The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-89508-2_93

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