Demand response aggregation service strategy for electric buses

Haifeng Cheng; Minli Huang; Longfei Liu; Hengyi Ru

doi:10.1117/12.2685954

28 July 2023 Demand response aggregation service strategy for electric buses

Haifeng Cheng, Minli Huang, Longfei Liu, Hengyi Ru

Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127563W (2023) https://doi.org/10.1117/12.2685954
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China

Abstract

The use of electric buses is not only one of the important measures to respond to the national promotion of new energy vehicles, but it also has the benefit of low carbon and environmental protection. How to exploit the battery load characteristics of electric buses so that they can actively participate in the power grid's demand response planning is an urgent topic that needs to be solved right now.Based on this, this paper proposes a demand response aggregation service strategy for electric buses, which consists primarily of researching the battery load characteristics of electric buses, calculating the cost of electricity for electric buses to implement demand response, and proposing a demand response aggregation service strategy for electric buses.

Citation Download Citation

Haifeng Cheng, Minli Huang, Longfei Liu, and Hengyi Ru "Demand response aggregation service strategy for electric buses", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127563W (28 July 2023); https://doi.org/10.1117/12.2685954

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