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Flexible heat and power load control of subcritical heating units based on energy demand-supply balance

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  • Wang, Wei
  • Xie, Xinyan
  • Yu, Wei
  • Hu, Yong
  • Zeng, Deliang

Abstract

To fulfill the requirement for enhancing the flexibility of heating units within the framework of renewable energy grid integration. In this study, a proposed optimal control strategy for heating units borrows the heat extraction output to perform rapid load changes; the boiler heat supply within the unit is clearly differentiated from the turbine energy demand, and formulate corresponding control signals. The coordinated control of the boiler and turbine based on the energy demand-supply balance of the unit as secondary control for the final load accuracy, ensuring its safe and stable operation. To further enhance the control performance, an improved sparrow optimization algorithm with butterfly search is designed to adjust the controller parameters. Finally, field tests on a 300 MW subcritical heating unit reveal that the automatic generation control performance index is improved by 32.16 % compared to the traditional coordinated control strategy, while taking less impact on the heat user. These results validate the exceptional performance and significant practical value of the optimized control strategy.

Suggested Citation

  • Wang, Wei & Xie, Xinyan & Yu, Wei & Hu, Yong & Zeng, Deliang, 2024. "Flexible heat and power load control of subcritical heating units based on energy demand-supply balance," Energy, Elsevier, vol. 313(C).
    • Handle: RePEc:eee:energy:v:313:y:2024:i:c:s0360544224035618
    DOI: 10.1016/j.energy.2024.133783
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    1. Li, Jiajia & Li, Xingshuo & Yan, Peigang & Zhou, Guowen & Liu, Jinfu & Yu, Daren, 2023. "Thermodynamics, flexibility and techno-economics assessment of a novel integration of coal-fired combined heating and power generation unit and compressed air energy storage," Applied Energy, Elsevier, vol. 339(C).
    2. Zhaohua Wang & Hao Li & Bin Zhang & Bo Wang & Hao Li & Xin Tian & Jiang Lin & Wei Feng, 2023. "Unequal residential heating burden caused by combined heat and power phase-out under climate goals," Nature Energy, Nature, vol. 8(8), pages 881-890, August.
    3. Esmaeili, Mohammad & Moradi, Hamed, 2023. "Robust & nonlinear control of an ultra-supercritical coal fired once-through boiler-turbine unit in order to optimize the uncertain problem," Energy, Elsevier, vol. 282(C).
    4. Liu, Miaomiao & Liu, Ming & Wang, Yu & Chen, Weixiong & Yan, Junjie, 2021. "Thermodynamic optimization of coal-fired combined heat and power (CHP) systems integrated with steam ejectors to achieve heat–power decoupling," Energy, Elsevier, vol. 229(C).
    5. Adeel Ahmad Jamil & Wen Fu Tu & Syed Wajhat Ali & Yacine Terriche & Josep M. Guerrero, 2022. "Fractional-Order PID Controllers for Temperature Control: A Review," Energies, MDPI, vol. 15(10), pages 1-28, May.
    6. Zhang, Guangming & Zhang, Chao & Wang, Wei & Cao, Huan & Chen, Zhenyu & Niu, Yuguang, 2023. "Offline reinforcement learning control for electricity and heat coordination in a supercritical CHP unit," Energy, Elsevier, vol. 266(C).
    7. Zhang, Qijun & Dong, Jianning & Chen, Heng & Feng, Fuyuan & Xu, Gang & Wang, Xiuyan & Liu, Tong, 2024. "Dynamic characteristics and economic analysis of a coal-fired power plant integrated with molten salt thermal energy storage for improving peaking capacity," Energy, Elsevier, vol. 290(C).
    8. Liu, Miaomiao & Liu, Ming & Chen, Weixiong & Yan, Junjie, 2023. "Operational flexibility and operation optimization of CHP units supplying electricity and two-pressure steam," Energy, Elsevier, vol. 263(PE).
    9. Jin, Yuhui & Wu, Xiao & Shen, Jiong, 2022. "Power-heat coordinated control of multiple energy system for off-grid energy supply using multi-timescale distributed predictive control," Energy, Elsevier, vol. 254(PB).
    10. Wang, Chaoyang & Zhao, Yongliang & Liu, Ming & Qiao, Yongqiang & Chong, Daotong & Yan, Junjie, 2018. "Peak shaving operational optimization of supercritical coal-fired power plants by revising control strategy for water-fuel ratio," Applied Energy, Elsevier, vol. 216(C), pages 212-223.
    11. Wang, Wei & Jing, Sitong & Sun, Yang & Liu, Jizhen & Niu, Yuguang & Zeng, Deliang & Cui, Can, 2019. "Combined heat and power control considering thermal inertia of district heating network for flexible electric power regulation," Energy, Elsevier, vol. 169(C), pages 988-999.
    12. Wang, Haichao & Hua, Pengmin & Wu, Xiaozhou & Zhang, Ruoyu & Granlund, Katja & Li, Ji & Zhu, Yingjie & Lahdelma, Risto & Teppo, Esa & Yu, Li, 2022. "Heat-power decoupling and energy saving of the CHP unit with heat pump based waste heat recovery system," Energy, Elsevier, vol. 250(C).
    13. Wu, Xiao & Xi, Han & Ren, Yuning & Lee, Kwang Y., 2021. "Power-carbon coordinated control of BFG-fired CCGT power plant integrated with solvent-based post-combustion CO2 capture," Energy, Elsevier, vol. 226(C).
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