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Fuzzy modeling and fast model predictive control of gas turbine system

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  • Hou, Guolian
  • Gong, Linjuan
  • Huang, Congzhi
  • Zhang, Jianhua

Abstract

In terms of the inner complex characteristics and fast dynamic of the gas turbine system, it is a great challenge to realize the safe, stable, and efficient operation of gas turbine system in power generation process like combined cycle unit (CCU). For the purpose of achieving high tracking performance and disturbance rejection ability within less settling time under various operating conditions, an improved fuzzy modeling approach and corresponding fast model predictive control (Fast-MPC) algorithm are introduced and applied to a gas turbine system. Considering the importance of an accurate system model in the performance assurance and promotion of controller, a fuzzy modeling technique adopting the entropy-based clustering and subspace identification (SID) is presented to identify the model of gas turbine system at first. The clustering process can realize the automatic determinations of cluster number along with cluster centers. Furthermore, on account of the incremental data around each cluster centers, the SID method is utilized for the acquisition of state-space model required in control process. Then, in the Fast-MPC, the optimization variables of original quadratic programming problem are reordered reasonably, which different from the conventional MPC. Afterward, an improved original obstacle internal point method combined with warm start strategy is employed for the achievement of higher computational efficiency. Finally, extensive simulation experiments are implemented to verify the remarkable accuracy of the identified model, and the excellent settling rapidity of the designed control algorithm.

Suggested Citation

  • Hou, Guolian & Gong, Linjuan & Huang, Congzhi & Zhang, Jianhua, 2020. "Fuzzy modeling and fast model predictive control of gas turbine system," Energy, Elsevier, vol. 200(C).
    • Handle: RePEc:eee:energy:v:200:y:2020:i:c:s0360544220305727
    DOI: 10.1016/j.energy.2020.117465
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    References listed on IDEAS

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    1. Sreepradha, Chandrasekharan & Panda, Rames Chandra & Bhuvaneswari, Natrajan Swaminathan, 2017. "Mathematical model for integrated coal fired thermal boiler using physical laws," Energy, Elsevier, vol. 118(C), pages 985-998.
    2. Joe, Jaewan & Karava, Panagiota, 2019. "A model predictive control strategy to optimize the performance of radiant floor heating and cooling systems in office buildings," Applied Energy, Elsevier, vol. 245(C), pages 65-77.
    3. Hadroug, Nadji & Hafaifa, Ahmed & Kouzou, Abdellah & Chaibet, Ahmed, 2017. "Dynamic model linearization of two shafts gas turbine via their input/output data around the equilibrium points," Energy, Elsevier, vol. 120(C), pages 488-497.
    4. Guolian Hou & Yu Yang & Zhuo Jiang & Quan Li & Jianhua Zhang, 2016. "A New Approach of Modeling an Ultra-Super-Critical Power Plant for Performance Improvement," Energies, MDPI, vol. 9(5), pages 1-15, April.
    5. De Paepe, Ward & Montero Carrero, Marina & Bram, Svend & Contino, Francesco & Parente, Alessandro, 2017. "Waste heat recovery optimization in micro gas turbine applications using advanced humidified gas turbine cycle concepts," Applied Energy, Elsevier, vol. 207(C), pages 218-229.
    6. Plis, Marcin & Rusinowski, Henryk, 2017. "Predictive, adaptive model of PG 9171E gas turbine unit including control algorithms," Energy, Elsevier, vol. 126(C), pages 247-255.
    7. Kong, Xiaobing & Liu, Xiangjie & Lee, Kwang Y., 2015. "Nonlinear multivariable hierarchical model predictive control for boiler-turbine system," Energy, Elsevier, vol. 93(P1), pages 309-322.
    8. Zhang, Jianhua & Zhou, Yeli & Li, Ying & Hou, Guolian & Fang, Fang, 2013. "Generalized predictive control applied in waste heat recovery power plants," Applied Energy, Elsevier, vol. 102(C), pages 320-326.
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    Cited by:

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    2. Kong, Xiaobing & Abdelbaky, Mohamed Abdelkarim & Liu, Xiangjie & Lee, Kwang Y., 2023. "Stable feedback linearization-based economic MPC scheme for thermal power plant," Energy, Elsevier, vol. 268(C).
    3. Hou, Guolian & Huang, Ting & Huang, Congzhi, 2023. "Flexibility improvement of 1000 MW ultra-supercritical unit under full operating conditions by error-based ADRC and fast pigeon-inspired optimizer," Energy, Elsevier, vol. 270(C).
    4. Hou, Guolian & Gong, Linjuan & Hu, Bo & Huang, Ting & Su, Huilin & Huang, Congzhi & Zhou, Guiping & Wang, Shunjiang, 2022. "Flexibility oriented adaptive modeling of combined heat and power plant under various heat-power coupling conditions," Energy, Elsevier, vol. 242(C).
    5. Dong, Zhe & Li, Bowen & Huang, Xiaojin & Dong, Yujie & Zhang, Zuoyi, 2022. "Power-pressure coordinated control of modular high temperature gas-cooled reactors," Energy, Elsevier, vol. 252(C).
    6. Li, Penghua & Liu, Jianfei & Deng, Zhongwei & Yang, Yalian & Lin, Xianke & Couture, Jonathan & Hu, Xiaosong, 2022. "Increasing energy utilization of battery energy storage via active multivariable fusion-driven balancing," Energy, Elsevier, vol. 243(C).
    7. Li, Jian & Wang, Zhitao & Li, Shuying & Ming, Liang, 2022. "A SDNN-MPC method for power distribution of COGAG propulsion system," Energy, Elsevier, vol. 254(PB).
    8. Hou, Guolian & Gong, Linjuan & Hu, Bo & Su, Huilin & Huang, Ting & Huang, Congzhi & Fan, Wei & Zhao, Yuanzhu, 2022. "Application of fast adaptive moth-flame optimization in flexible operation modeling for supercritical unit," Energy, Elsevier, vol. 239(PA).

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