Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

Research Article

Research on Medium and Long-term Power Market Operation Risk Analysis and Risk Management Suggestions Based on Big Data Analytics

Download25 downloads
  • @INPROCEEDINGS{10.4108/eai.15-12-2023.2345346,
        author={Jin  Xing and Zhongkang  Wei and Bo  Ning and Tianbo  Zhu and Rui  Min and Gongyu  Wei},
        title={Research on Medium and Long-term Power Market Operation Risk Analysis and Risk Management Suggestions Based on Big Data Analytics},
        proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={PMBDA},
        year={2024},
        month={5},
        keywords={power market operational risks big data analysis risk modeling risk management quantification analysis},
        doi={10.4108/eai.15-12-2023.2345346}
    }
    
  • Jin Xing
    Zhongkang Wei
    Bo Ning
    Tianbo Zhu
    Rui Min
    Gongyu Wei
    Year: 2024
    Research on Medium and Long-term Power Market Operation Risk Analysis and Risk Management Suggestions Based on Big Data Analytics
    PMBDA
    EAI
    DOI: 10.4108/eai.15-12-2023.2345346
Jin Xing1, Zhongkang Wei1, Bo Ning1, Tianbo Zhu1, Rui Min1, Gongyu Wei2,*
  • 1: Ji Bei Power Exchange Center Co., Ltd
  • 2: Beijing Tsintergy Technology Co., Ltd
*Contact email: weigy@tsintergy.com

Abstract

With the acceleration of China’s electricity market reform process, the number of market entities, transaction types, transaction frequency and scale in each provincial power market have increased significantly. In order to deal with the operational risks of the medium- and long-term power market, this study adopts risk identification and quantification methods based on big data analytics, and builds multiple power market operational risk analysis models by exploring the correlations among massive transaction data. Based on the research results, combined with the investigation and collection of relevant information, this study carried out the assessment of medium- and long-term market operation risks in Province A, and put forward risk management suggestions for power market operating institutes based on the analysis results.