Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

Research Article

Research on Vehicle to Grid Strategy of Multi-objective Optimization: A Case Study of Jiangsu Province

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342757,
        author={Haiqing  Gan and Wenjun  Ruan and Xize  Jiao},
        title={Research on Vehicle to Grid Strategy of Multi-objective Optimization: A Case Study of Jiangsu Province},
        proceedings={Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17--19, 2023, Beijing, China},
        publisher={EAI},
        proceedings_a={ICEMME},
        year={2024},
        month={2},
        keywords={vehicle to grid; multi-objective optimization; non-cooperative tripartite game model; price strategy},
        doi={10.4108/eai.17-11-2023.2342757}
    }
    
  • Haiqing Gan
    Wenjun Ruan
    Xize Jiao
    Year: 2024
    Research on Vehicle to Grid Strategy of Multi-objective Optimization: A Case Study of Jiangsu Province
    ICEMME
    EAI
    DOI: 10.4108/eai.17-11-2023.2342757
Haiqing Gan1,*, Wenjun Ruan1, Xize Jiao1
  • 1: State Grid Jiangsu Electric Power Co., Ltd
*Contact email: z1079740793@163.com

Abstract

In pursuit of the 'carbon peaking and carbon neutrality' objectives and the imperatives of high-quality economic development, the energy system is undergoing a profound shift towards green and low-carbon solutions. Vehicle-network interaction offers the potential for adaptable synergy between energy supply and demand, aligning with the inherent requirements of new energy system development. This strategy aims to achieve efficient allocation of grid resources, provide cost-effective and convenient charging options for vehicle owners, and transform the relationship between electricity consumption and power supply from a traditional separation to a mutually beneficial symbiotic association. In this paper, we employ a multi-objective optimization model and non-cooperative tripartite game model, utilizing load data from Jiangsu Province, to evaluate pricing strategies that can foster a win-win scenario for grid operators and charging users in various conditions. Ultimately, it is found that vehicle-grid interaction not only plays a positive role in the energy transition of electric vehicles, but also expands the value space of electric vehicles, promotes a win-win situation for power grids, operators, and users, and promotes the interconnection of different subjects to realize integrated development.