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

Research Article

Research on Optimal Decision Method for Self Dispatching of Independent Energy Storage Power Stations under the Dual Settlement Market Model

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342682,
        author={Jing  Liu and Zhiyuan  Pan and Jing  Wang and Ningning  Liu and Wenhai  Wang and Hongxia  Liu},
        title={Research on Optimal Decision Method for Self Dispatching of Independent Energy Storage Power Stations under the Dual Settlement Market Model },
        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={energy storage power station dual settlement mode electricity market renewable energy scheduling optimization},
        doi={10.4108/eai.17-11-2023.2342682}
    }
    
  • Jing Liu
    Zhiyuan Pan
    Jing Wang
    Ningning Liu
    Wenhai Wang
    Hongxia Liu
    Year: 2024
    Research on Optimal Decision Method for Self Dispatching of Independent Energy Storage Power Stations under the Dual Settlement Market Model
    ICEMME
    EAI
    DOI: 10.4108/eai.17-11-2023.2342682
Jing Liu1,*, Zhiyuan Pan1, Jing Wang1, Ningning Liu2, Wenhai Wang3, Hongxia Liu3
  • 1: State Grid of China Technology College
  • 2: College of Electrical Engineering, Shandong University
  • 3: State Grid Shandong Electric Power Company
*Contact email: 814098370@qq.com

Abstract

This article analyzes the current situation of energy storage participating in market transactions as an independent market entity, and proposes a decision-making method for optimizing charging and discharging declaration based on predicted electricity prices in advance. Based on the predicted electricity prices, optimization decision-making is carried out and judgment is set. The threshold for energy storage charging and discharging electricity price difference and the threshold for policy adjustment price difference are set. When the price difference threshold conditions are met, the optimization decision-making process is entered, which improves the efficiency of energy storage power station optimization decision-making.