Proceedings of the 3rd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2024, May 24–26, 2024, Jinan, China

Research Article

The Design of Shared Energy Storage Trading Models

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  • @INPROCEEDINGS{10.4108/eai.24-5-2024.2350158,
        author={Yimin  Shen and Nvgui  Lin and Ming  Xu and Yuanzheng  Xiao and Qinwu  Liao},
        title={The Design of Shared Energy Storage Trading Models},
        proceedings={Proceedings of the 3rd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2024, May 24--26, 2024, Jinan, China},
        publisher={EAI},
        proceedings_a={MSEA},
        year={2024},
        month={10},
        keywords={energy market; shared energy storage; trading models; continuous double auction},
        doi={10.4108/eai.24-5-2024.2350158}
    }
    
  • Yimin Shen
    Nvgui Lin
    Ming Xu
    Yuanzheng Xiao
    Qinwu Liao
    Year: 2024
    The Design of Shared Energy Storage Trading Models
    MSEA
    EAI
    DOI: 10.4108/eai.24-5-2024.2350158
Yimin Shen1,*, Nvgui Lin1, Ming Xu1, Yuanzheng Xiao1, Qinwu Liao2
  • 1: State Grid Fujian Marketing Service Center, (Metering Center and Integrated Capital Center), Fuzhou, China
  • 2: State Grid Info-Telecom Great Power Science and Technology Co., Ltd, Fuzhou, China
*Contact email: shen_yimin@fj.sgcc.com.cn

Abstract

This study aims to enhance efficiency and credit risk management in the shared energy storage trading market. This paper designs three types of shared energy storage trading models including contract trading, auction trading, and spot trading. It innovatively proposes the “Price Priority, Credit Priority, Time Priority” trading rule, incorporating credit assessment into transaction matching to significantly reduce trading risks. Then, this paper introduces an improved Continuous Double Auction (ICDA) mechanism to meet the real-time trading needs of shared energy storage transaction. These findings enrich theoretical understanding and offer practical solutions, fostering sustainable energy market development and efficient resource allocation.