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Analysis of the Impact of Regional Customer Charging on the Grid Under the Aggregator Model

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International Conference on Neural Computing for Advanced Applications (NCAA 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1869))

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Abstract

This paper studies the impact of regional user charging on the grid under the aggregator model. Firstly, the EV charging station is taken as the aggregator, the participants and the form of cooperation in this scenario are clarified, a three-party cooperation method between the aggregator, the user and the grid is designed, the travel characteristics of users in the region are analyzed, the daily residual SOC of EVs and the user trustworthiness are taken as the evaluation indexes of the dispatchable potential of users, and the aggregator-operator optimal dispatch model is established. The aggregator’s revenue maximization is used as the objective function, and the aggregation of EV users in the region is carried out by the Monte Carlo method. It is verified that the aggregator’s model can calm the grid load by guiding users to charge in an orderly manner, and at the same time can satisfy users’ charging demand and mobilize their enthusiasm.

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Acknowledgements

This work is supported in part by the Natural Science Youth Foundation of Shandong Province, China under Grant ZR2021QE240, and in part by PhD Research Fund of Shandong Jianzhu University, China under Grant X21040Z.

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Authors and Affiliations

  1. School of Information and Electrical Engineering, Shandong University of Construction, Jinan, 250101, China

    Chongyi Tian, Yubing Liu, Xiangshun Kong & Bo Peng

  2. ShandongKey: Laboratory of Intelligent Building Technology, Jinan, 250101, China

    Chongyi Tian, Yubing Liu, Xiangshun Kong & Bo Peng

Authors
  1. Chongyi Tian
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  2. Yubing Liu
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  3. Xiangshun Kong
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  4. Bo Peng
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Corresponding author

Correspondence to Bo Peng .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology, Shenzhen, China

    Haijun Zhang

  2. Chaohu University, Hefei, China

    Yinggen Ke

  3. Chongqing University, Chongqing, China

    Zhou Wu

  4. South China Normal University, Guangzhou, China

    Tianyong Hao

  5. Hefei University of Technology, Hefei, China

    Zhao Zhang

  6. Technical University of Denmark, Kongens Lyngby, Denmark

    Weizhi Meng

  7. Chaohu University, Hefei, China

    Yuanyuan Mu

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Tian, C., Liu, Y., Kong, X., Peng, B. (2023). Analysis of the Impact of Regional Customer Charging on the Grid Under the Aggregator Model. In: Zhang, H., et al. International Conference on Neural Computing for Advanced Applications. NCAA 2023. Communications in Computer and Information Science, vol 1869. Springer, Singapore. https://doi.org/10.1007/978-981-99-5844-3_19

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  • DOI: https://doi.org/10.1007/978-981-99-5844-3_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-5843-6

  • Online ISBN: 978-981-99-5844-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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