Analysis and research on influencing factors of interactive decision-making between electric vehicles and power grids DOI

Wenzuo Huang,

Yang Liu, Yuanxing Zhang

и другие.

Journal of Computational Methods in Sciences and Engineering, Год журнала: 2025, Номер unknown

Опубликована: Апрель 8, 2025

As the global energy crisis and environmental problems become increasingly severe, electric vehicles have carrier transportation field due to their zero-emission energy-saving characteristics. Large-scale popularization of has brought dual impacts, increase grid load fluctuations; on other hand, through reasonable charging regulation vehicle-network interaction, can be used as distributed storage resources improve efficiency stability power operation. However, at present, research decision-making influencing factors interaction is still insufficient, it urgent discuss its key driving optimization paths in depth. Based actual data analysis, this paper makes an empirical study interactive between by using multiple regression model. The results show that behavior vehicle owners mainly affected fluctuation electricity prices, convenience renewable penetration rate. At level, proportion photovoltaic installed capacity significantly increased V2G participation In addition, under different policy incentives, there are significant differences willingness car accept V2G: subsidy policies rate 15%–20%. this, puts forward suggestions such optimizing pricing mechanism, improving coverage smart infrastructure, promoting innovation related interaction.

Язык: Английский

Analysis and research on influencing factors of interactive decision-making between electric vehicles and power grids DOI

Wenzuo Huang,

Yang Liu, Yuanxing Zhang

и другие.

Journal of Computational Methods in Sciences and Engineering, Год журнала: 2025, Номер unknown

Опубликована: Апрель 8, 2025

As the global energy crisis and environmental problems become increasingly severe, electric vehicles have carrier transportation field due to their zero-emission energy-saving characteristics. Large-scale popularization of has brought dual impacts, increase grid load fluctuations; on other hand, through reasonable charging regulation vehicle-network interaction, can be used as distributed storage resources improve efficiency stability power operation. However, at present, research decision-making influencing factors interaction is still insufficient, it urgent discuss its key driving optimization paths in depth. Based actual data analysis, this paper makes an empirical study interactive between by using multiple regression model. The results show that behavior vehicle owners mainly affected fluctuation electricity prices, convenience renewable penetration rate. At level, proportion photovoltaic installed capacity significantly increased V2G participation In addition, under different policy incentives, there are significant differences willingness car accept V2G: subsidy policies rate 15%–20%. this, puts forward suggestions such optimizing pricing mechanism, improving coverage smart infrastructure, promoting innovation related interaction.

Язык: Английский

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