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

Research Article

Research on Interactive Trading Mode between Thermal Storage Electric Boiler and Wind Power Based on Dynamic Time Sharing

Download34 downloads
  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342711,
        author={Genzhu  Li and Junhong  Guo and Ning  Qiao and Yi  Xie and Dunnan  Liu},
        title={Research on Interactive Trading Mode between Thermal Storage Electric Boiler and Wind Power Based on Dynamic Time Sharing},
        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={clean heating; electric boiler; electricity market; trading mode},
        doi={10.4108/eai.17-11-2023.2342711}
    }
    
  • Genzhu Li
    Junhong Guo
    Ning Qiao
    Yi Xie
    Dunnan Liu
    Year: 2024
    Research on Interactive Trading Mode between Thermal Storage Electric Boiler and Wind Power Based on Dynamic Time Sharing
    ICEMME
    EAI
    DOI: 10.4108/eai.17-11-2023.2342711
Genzhu Li1,*, Junhong Guo2, Ning Qiao3, Yi Xie4, Dunnan Liu1
  • 1: North China Electric Power University
  • 2: State Grid Jibei Electric Power Co., Ltd
  • 3: State Grid Ningxia Electric Power Co., Ltd
  • 4: State Grid Shanxi Electric Power Co., Ltd
*Contact email: lgz6869532@163.com

Abstract

As a typical heating equipment with energy storage function, the regenerative electric boiler has great flexibility potential. How to guide it to participate in power trade by market-oriented means to absorb new energy efficiently, it is a challenging technical problem to realize the green and low-carbon transition of energy and electricity. In view of this, this paper analyzes the current situation of clean heating in our country, and explores the interactive characteristics between the load of regenerative electric boiler and wind power, a time-division transaction model based on wind power prediction is designed, and an example of a provincial source network charge-storage interaction demonstration project is analyzed, the results show that the proposed method can fully guide the thermal storage electric boiler to participate in the power market transactions, effectively mitigate the impact of wind power fluctuations on the grid, and further promote the wind power consumption.