Optimal day-ahead scheduling for distributed cleaning heating system with minimal carbon emissions
编号:393 访问权限:仅限参会人 更新:2022-05-21 16:04:01 浏览:345次 张贴报告

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摘要
To coordinate renewable energy consumption and distributed clean heating supply, this paper introduces heat pumps and electric boiler-heat storage devices, constituting an integrated electrical and thermal energy system with wind power, thermal power, and combined heat and power. The power flow method is used to construct an overall dynamic power flow model containing transfer, dynamic conversion, and storage processes. A case to minimize carbon emissions is developed by considering each component constraint equation's overall system constraint equations. The day-ahead scheduling results can provide power curves, storage water temperature, SOC, and thermal resistance of heat exchangers. Meanwhile, as the distributed heat load rate grows 10%, the wind abandonment rate decreases by 5.5% and CO2 emissions decrease by 1.5%. In addition, the mass flow rate ratio in the electric boiler coupled heat storage tank can minimize the wind abandonment rate and CO2 emission within a specific range. Finally, the results provide a significant basis for the carbon reduction of the integrated energy system.
关键词
Integrated Energy System;heat pump;heat storage;carbon emission;power flow method
报告人
JunhongHao
Tsinghua University;North China Electric Power University

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重要日期
  • 会议日期

    05月27日

    2022

    05月29日

    2022

  • 02月28日 2022

    初稿截稿日期

  • 05月29日 2022

    注册截止日期

  • 06月22日 2022

    报告提交截止日期

主办单位
IEEE Beijing Section
China Electrotechnical Society
Southeast University
协办单位
IEEE Industry Applications Society
IEEE Nanjing Section
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