Abstract
In the process of interaction between the electric vehicle (EV) and the microgrid (MG), the discharge electricity price provided by the microgrid is a key factor affecting the benefits of the participants. This paper uses evolutionary game theory combined with system dynamics to simulate the dynamic process of multi-parties game in the process of EV-MG interaction under the condition of bounded rationality and analyzes the influence of different discharge price pricing strategy on the game process. First of all, when the formulating strategy of the discharge price is static, the evolutionary strategy of the participants will tend to be stable, but make strategy stabilization delay time longer, which will increase the extra game cost of the participants. Secondly, when the strategy for formulating discharge price is dynamic, it can not only make the strategy of the participants stable, but also have the convergence speed of the game process less affected by the initial value, which can significantly reduce the game cost of all parties. Combining system dynamics and evolutionary game theory to study the interaction process of EV-MG provides an effective solution for microgrid to formulate electric vehicle discharge price strategy.
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Acknowledgements
Research work in this paper is supported by the National Natural Science Foundation of China (Grant No. 71871160) and Shanghai Science and Technology Innovation Action Plan (No.19DZ1206800).
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Guo, H., Zhang, H., Lu, J., Zeng, R., Han, T. (2022). Multi-party Evolution Stability Analysis of Electric Vehicles- Microgrid Interaction Mechanism. In: Huang, DS., Jo, KH., Jing, J., Premaratne, P., Bevilacqua, V., Hussain, A. (eds) Intelligent Computing Theories and Application. ICIC 2022. Lecture Notes in Computer Science, vol 13393. Springer, Cham. https://doi.org/10.1007/978-3-031-13870-6_2
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