Paper
23 August 2023 Risk assessment of shared electric vehicles participating in backup services
Jinhao Yang, Hui Ren, Ping Chen
Author Affiliations +
Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127840J (2023) https://doi.org/10.1117/12.2692485
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China
Abstract
Under the two-carbon goal, the key issue of constructing a new power system with new energy as the main body is to ensure the economical, reliable and quick response backup service. The gradual popularization of shared electric vehicle (EV) and the development and maturity of related technologies such as smart grid make it possible to play the role of distributed power supply provider. Firstly, it is necessary to quantify the risk accurately to realize the participation of shared EV in standby service. Then, the risk penalty cost system quantity is introduced to convert the standby risk into risk cost and introduce the objective function. At the same time, the economic cost and risk cost are optimized to get the risk assessment model. Finally, different application scenarios are compared and analyzed based on simulation examples, and it is found that the operating risk level, cost are closely related to the standby configuration scenario.
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Jinhao Yang, Hui Ren, and Ping Chen "Risk assessment of shared electric vehicles participating in backup services", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127840J (23 August 2023); https://doi.org/10.1117/12.2692485
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KEYWORDS
Power grids

Batteries

Risk assessment

Reliability

Frequency modulation

Mathematical optimization

MATLAB

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