Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China

Research Article

Research on Power Purchasing Strategy of Power Grid Enterprise Agent Considering the Responsibility of Renewable Energy Consumption

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  • @INPROCEEDINGS{10.4108/eai.2-12-2022.2328771,
        author={Min  Wang and Yingxue  Li and Jiawei  Gong and Xueting  Zhang},
        title={Research on Power Purchasing Strategy of Power Grid Enterprise Agent Considering the Responsibility of Renewable Energy Consumption},
        proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China},
        publisher={EAI},
        proceedings_a={BDEIM},
        year={2023},
        month={6},
        keywords={power purchasing agent; power purchase decisions; cvar method},
        doi={10.4108/eai.2-12-2022.2328771}
    }
    
  • Min Wang
    Yingxue Li
    Jiawei Gong
    Xueting Zhang
    Year: 2023
    Research on Power Purchasing Strategy of Power Grid Enterprise Agent Considering the Responsibility of Renewable Energy Consumption
    BDEIM
    EAI
    DOI: 10.4108/eai.2-12-2022.2328771
Min Wang1,*, Yingxue Li1, Jiawei Gong1, Xueting Zhang1
  • 1: Economic Research Institute State Grid Jiangxi Electric power Company
*Contact email: wangmin1033@126.com

Abstract

With the rise of the Power Grid Company’s power purchasing agency business and the continuous improvement of the renewable energy absorption mechanism, it is of great significance to study the optimal power purchase strategy with the consideration of the cost minimization and the risk reduction of renewable energy consumption. This paper synthetically considers the factors of electricity price fluctuation, uses CVaR method to quantify the risk in the process of electricity purchase, considers the distribution of electricity price under different excess consumption, and establishes the cost-risk model of electricity purchase, to seek the lowest cost, risk controllable power purchase strategy. The example shows that the higher the risk-bearing capacity of the agent, the larger the proportion of the agent in the spot market. And power grid companies can according to the trust of historical data and the future excess consumption of supply and demand, choose their own purchasing strategy.