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Optimal control of flexible natural gas combined cycles with stress monitoring: Linear vs nonlinear model predictive control

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  • Rúa, Jairo
  • Nord, Lars O.

Abstract

In future energy markets, traditional thermal power plants are expected to cycle more to adapt their operation to the intermittent power generation of renewable energy sources. Gas turbine load ramps and stresses in thick-walled equipment of the steam cycle are arguably the main limitations in the flexible operation of natural gas combined cycles. This work proposes a control strategy based on model predictive control with stress monitoring to overcome both limitations and enhance the flexible operation of thermal power plants. The linear and nonlinear formulation of the problem included in the model predictive control strategy are described, and two different modelling approaches for the stresses in the high pressure drum and steam turbine rotor are presented. The results demonstrate that the proposed control strategy is capable of computing optimal control sequences without exceeding the maximum allowable stress in critical components and the ramp rates of the gas turbine. The comparison between the linear and nonlinear formulations shows the superior performance of linear model predictive control and suggests that the nonlinear formulation should only be used when the stress models can not be expressed as a linear system of equations.

Suggested Citation

  • Rúa, Jairo & Nord, Lars O., 2020. "Optimal control of flexible natural gas combined cycles with stress monitoring: Linear vs nonlinear model predictive control," Applied Energy, Elsevier, vol. 265(C).
    • Handle: RePEc:eee:appene:v:265:y:2020:i:c:s0306261920303329
    DOI: 10.1016/j.apenergy.2020.114820
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    Cited by:

    1. Lu, Nianci & Pan, Lei & Pedersen, Simon & Arabkoohsar, Ahmad, 2023. "A two-dimensional design and synthesis method for coordinated control of flexible-operational combined cycle of gas turbine," Energy, Elsevier, vol. 284(C).
    2. Wilkes, Mathew Dennis & Brown, Solomon, 2022. "Flexible CO2 capture for open-cycle gas turbines via vacuum-pressure swing adsorption: A model-based assessment," Energy, Elsevier, vol. 250(C).
    3. Stefano Dettori & Alessandro Maddaloni & Filippo Galli & Valentina Colla & Federico Bucciarelli & Damaso Checcacci & Annamaria Signorini, 2021. "Steam Turbine Rotor Stress Control through Nonlinear Model Predictive Control," Energies, MDPI, vol. 14(13), pages 1-30, July.
    4. 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).
    5. Wang, Zhu & Liu, Ming & Yan, Junjie, 2021. "Flexibility and efficiency co-enhancement of thermal power plant by control strategy improvement considering time varying and detailed boiler heat storage characteristics," Energy, Elsevier, vol. 232(C).
    6. Yu, Haiquan & Zhou, Jianxin & Si, Fengqi & Nord, Lars O., 2022. "Combined heat and power dynamic economic dispatch considering field operational characteristics of natural gas combined cycle plants," Energy, Elsevier, vol. 244(PA).
    7. Beiron, Johanna & Montañés, Rubén M. & Normann, Fredrik & Johnsson, Filip, 2020. "Flexible operation of a combined cycle cogeneration plant – A techno-economic assessment," Applied Energy, Elsevier, vol. 278(C).

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