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Optimum Electric Boiler Capacity Configuration in a Regional Power Grid for a Wind Power Accommodation Scenario

Author

Listed:
  • Da Liu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Guowei Zhang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    These authors contributed equally to this work.)

  • Baohua Huang

    (North China Electric Power Research Institute Co, Ltd., Beijing 100045, China
    These authors contributed equally to this work.)

  • Weiwei Liu

    (North China Electric Power Research Institute Co, Ltd., Beijing 100045, China
    These authors contributed equally to this work.)

Abstract

Wind power generation reduces our reliance on fossil fuels and can thus reduce environmental pollution. However, rapid wind power development has caused various issues related to power grid restructuring. A high proportion of the generating capacity of northeast China is based on combined heat and power (CHP), whose inflexible response to the peak regulation of power grids hinders the ability to accommodate wind power; thus, wind power curtailment is prevalent. Electric boilers can directly consume the excess wind power to supply heat during low load periods and thus mitigate the heat supply stress of CHP units. Therefore, electric boilers improve the power grid’s ability to accommodate additional wind power. From a regional power grid perspective, this paper discussed the feasibility of such a strategy for increasing the ability to accommodate wind power during the heat supply season. This paper analysed the optimum electric boiler capacity configuration of a regional power grid based on various constraint conditions, such as the heat-power balance, with the objective of maximising the associated social benefits. Using the Beijing-Tianjin-Hebei power grid as an example, the optimum electric boiler capacity of the studied power grid is approximately 1100 MW.

Suggested Citation

  • Da Liu & Guowei Zhang & Baohua Huang & Weiwei Liu, 2016. "Optimum Electric Boiler Capacity Configuration in a Regional Power Grid for a Wind Power Accommodation Scenario," Energies, MDPI, vol. 9(3), pages 1-13, March.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:3:p:144-:d:64821
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    References listed on IDEAS

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    Cited by:

    1. Yanhong Luo & Zhenxing Yin & Dongsheng Yang & Bowen Zhou, 2019. "A New Wind Power Accommodation Strategy for Combined Heat and Power System Based on Bi-Directional Conversion," Energies, MDPI, vol. 12(13), pages 1-16, June.
    2. Yanjuan Yu & Guohua Zhou & Kena Wu & Cheng Chen & Qiang Bian, 2023. "Optimal Configuration of Power-to-Heat Equipment Considering Peak-Shaving Ancillary Service Market," Energies, MDPI, vol. 16(19), pages 1-18, September.
    3. Yang, Tianrun & Liu, Wen & Kramer, Gert Jan, 2024. "Seasonal thermal energy storage employing solar heat: A case study of Heilongjiang, China, exploring the transition to clean heating and renewable power integration," Energy, Elsevier, vol. 305(C).
    4. Da Liu & Shou-Kai Wang & Jin-Chen Liu & Han Huang & Xing-Ping Zhang & Yi Feng & Wei-Jun Wang, 2017. "Optimum Subsidy to Promote Electric Boiler Investment to Accommodate Wind Power," Sustainability, MDPI, vol. 9(6), pages 1-11, May.
    5. Niu, Dong-xiao & Song, Zong-yun & Xiao, Xin-li, 2017. "Electric power substitution for coal in China: Status quo and SWOT analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 610-622.
    6. Ruiwang Sun & Longfei Guan & Naizhe Diao, 2024. "rlaNet: A Residual Convolution Nested Long-Short-Term Memory Model with an Attention Mechanism for Wind Turbine Fault Diagnosis," Mathematics, MDPI, vol. 12(22), pages 1-17, November.
    7. Weidong Li & Tie Li & Haixin Wang & Jian Dong & Yunlu Li & Dai Cui & Weichun Ge & Junyou Yang & Martin Onyeka Okoye, 2019. "Optimal Dispatch Model Considering Environmental Cost Based on Combined Heat and Power with Thermal Energy Storage and Demand Response," Energies, MDPI, vol. 12(5), pages 1-18, March.
    8. Xiaojuan Han & Feng Wang & Chunguang Tian & Kai Xue & Junfeng Zhang, 2018. "Economic Evaluation of Actively Consuming Wind Power for an Integrated Energy System Based on Game Theory," Energies, MDPI, vol. 11(6), pages 1-25, June.
    9. Yanjuan Yu & Hongkun Chen & Lei Chen, 2018. "Comparative Study of Electric Energy Storages and Thermal Energy Auxiliaries for Improving Wind Power Integration in the Cogeneration System," Energies, MDPI, vol. 11(2), pages 1-16, January.

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