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Investigation of the Promotion of Wind Power Consumption Using the Thermal-Electric Decoupling Techniques

Author

Listed:
  • Shuang Rong

    (Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China)

  • Zhimin Li

    (Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China)

  • Weixing Li

    (Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China)

Abstract

In the provinces of north China, combined heat and electric power generations (CHP) are widely utilized to provide both heating source and electricity. While, due to the constraint of thermal-electric coupling within CHP, a mass of wind turbines have to offline operate during heating season to maintain the power grid stability. This paper proposes a thermal-electric decoupling (TED) approach to release the energy waste. Within the thermal-electric decoupling system, heat storage and electric boiler/heat pump are introduced to provide an auxiliary thermal source during hard peak shaving period, thus relying on the participation of an outside heat source, the artificial electric power output change interval could be widened to adopt more wind power and reduce wind power curtailment. Both mathematic models and methods are proposed to calculate the evaluation indexes to weight the effect of TED, by using the Monte Carlo simulation technique. Numerical simulations have been conducted to demonstrate the effectiveness of the proposed methods, and the results show that the proposed approach could relieve up to approximately 90% of wind power curtailment and the ability of power system to accommodate wind power could be promoted about 32%; moreover, the heating source is extended, about 300 GJ heat could be supplied by TED during the whole heating season, which accounts for about 18% of the total heat need.

Suggested Citation

  • Shuang Rong & Zhimin Li & Weixing Li, 2015. "Investigation of the Promotion of Wind Power Consumption Using the Thermal-Electric Decoupling Techniques," Energies, MDPI, vol. 8(8), pages 1-17, August.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:8:p:8613-8629:d:54172
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    References listed on IDEAS

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    1. Kiviluoma, Juha & Meibom, Peter, 2010. "Influence of wind power, plug-in electric vehicles, and heat storages on power system investments," Energy, Elsevier, vol. 35(3), pages 1244-1255.
    2. Lund, H & Münster, E, 2003. "Modelling of energy systems with a high percentage of CHP and wind power," Renewable Energy, Elsevier, vol. 28(14), pages 2179-2193.
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    Cited by:

    1. Eid Gul & Giorgio Baldinelli & Pietro Bartocci, 2022. "Energy Transition: Renewable Energy-Based Combined Heat and Power Optimization Model for Distributed Communities," Energies, MDPI, vol. 15(18), pages 1-18, September.
    2. Shuang Rong & Weixing Li & Zhimin Li & Yong Sun & Taiyi Zheng, 2015. "Optimal Allocation of Thermal-Electric Decoupling Systems Based on the National Economy by an Improved Conjugate Gradient Method," Energies, MDPI, vol. 9(1), pages 1-21, December.
    3. Quan Lyu & Haoyan Gong & Nan Yang & Xiandong Xu & Na Zhang & Haixia Wang, 2019. "An Evaluation Method of Wind Power Integration in Power Systems with Flexible Combined Heat and Power Plant," Energies, MDPI, vol. 12(21), pages 1-17, October.
    4. Yan Zhang & Quan Lyu & Yang Li & Na Zhang & Lijun Zheng & Haoyan Gong & Hui Sun, 2020. "Research on Down-Regulation Cost of Flexible Combined Heat Power Plants Participating in Real-Time Deep Down-Regulation Market," Energies, MDPI, vol. 13(4), pages 1-17, February.
    5. Yi Tang & Yuqian Liu & Jia Ning & Jingbo Zhao, 2017. "Multi-Time Scale Coordinated Scheduling Strategy with Distributed Power Flow Controllers for Minimizing Wind Power Spillage," Energies, MDPI, vol. 10(11), pages 1-15, November.
    6. Weijun Wang & Xinna Qiao, 2021. "Study on development potential of newly added wind power heating in Beijing–Tianjin—Hebei under carbon emission reduction," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 11(4), pages 647-660, August.
    7. 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.
    8. Jingjing Zhai & Xiaobei Wu & Zihao Li & Shaojie Zhu & Bo Yang & Haoming Liu, 2021. "Day-Ahead and Intra-Day Collaborative Optimized Operation among Multiple Energy Stations," Energies, MDPI, vol. 14(4), pages 1-33, February.
    9. Ping Li & Haixia Wang & Quan Lv & Weidong Li, 2017. "Combined Heat and Power Dispatch Considering Heat Storage of Both Buildings and Pipelines in District Heating System for Wind Power Integration," Energies, MDPI, vol. 10(7), pages 1-19, June.
    10. 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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