IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i7p1757-d342091.html
   My bibliography  Save this article

Superheated Steam Temperature Control Based on a Hybrid Active Disturbance Rejection Control

Author

Listed:
  • Gengjin Shi

    (State Key Lab of Power System, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China)

  • Zhenlong Wu

    (State Key Lab of Power System, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China)

  • Jian Guo

    (Bernouly (Beijing) Simulation Technology Co., Ltd., Beijing 100085, China)

  • Donghai Li

    (State Key Lab of Power System, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China)

  • Yanjun Ding

    (State Key Lab of Power System, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China)

Abstract

Superheated steam temperature (SST) is a significant index for a coal-fired power plant. Its control is becoming more and more challenging for the reason that the control requirements are stricter and the load command changes extensively and frequently. To deal with the aforementioned challenges, previously the cascade control strategy was usually applied to the control of SST. However, its structure and tuning procedure are complex. To solve this problem, this paper proposes a single-loop control strategy for SST based on a hybrid active disturbance rejection control (ADRC). The stability and ability to reject the secondary disturbance are analyzed theoretically in order to perfect the theory of the hybrid ADRC. Then a tuning procedure is summarized for the hybrid ADRC by analyzing the influences of all parameters on control performance. Using the proposed tuning method, a simulation is carried out illustrating that the hybrid ADRC is able to improve the dynamic performance of SST with good robustness. Eventually, the hybrid ADRC is applied to the SST system of a power plant simulator. Experimental results indicate that the single-loop control strategy based on the hybrid ADRC has better control performance and simpler structure than cascade control strategies. The successful application of the proposed hybrid ADRC shows its promising prospect of field tests in future power industry with the increasing demand on integrating more renewables into the grid.

Suggested Citation

  • Gengjin Shi & Zhenlong Wu & Jian Guo & Donghai Li & Yanjun Ding, 2020. "Superheated Steam Temperature Control Based on a Hybrid Active Disturbance Rejection Control," Energies, MDPI, vol. 13(7), pages 1-26, April.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1757-:d:342091
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/7/1757/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/7/1757/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wu, Zhenlong & Li, Donghai & Xue, Yali & Chen, YangQuan, 2019. "Gain scheduling design based on active disturbance rejection control for thermal power plant under full operating conditions," Energy, Elsevier, vol. 185(C), pages 744-762.
    2. Sun, Li & Jin, Yuhui & You, Fengqi, 2020. "Active disturbance rejection temperature control of open-cathode proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 261(C).
    3. Ting He & Zhenlong Wu & Rongqi Shi & Donghai Li & Li Sun & Lingmei Wang & Song Zheng, 2019. "Maximum Sensitivity-Constrained Data-Driven Active Disturbance Rejection Control with Application to Airflow Control in Power Plant," Energies, MDPI, vol. 12(2), pages 1-23, January.
    4. Chao Wu & Kang Song & Shaohua Li & Hui Xie, 2019. "Impact of Electrically Assisted Turbocharger on the Intake Oxygen Concentration and Its Disturbance Rejection Control for a Heavy-duty Diesel Engine," Energies, MDPI, vol. 12(15), pages 1-22, August.
    5. Jianhua Zhang & Jiancun Feng & Yeli Zhou & Fang Fang & Hong Yue, 2012. "Linear Active Disturbance Rejection Control of Waste Heat Recovery Systems with Organic Rankine Cycles," Energies, MDPI, vol. 5(12), pages 1-15, December.
    6. Zhe Dong & Miao Liu & Di Jiang & Xiaojin Huang & Yajun Zhang & Zuoyi Zhang, 2018. "Automatic Generation Control of Nuclear Heating Reactor Power Plants," Energies, MDPI, vol. 11(10), pages 1-18, October.
    7. Fan Zhang & Yali Xue & Donghai Li & Zhenlong Wu & Ting He, 2019. "On the Flexible Operation of Supercritical Circulating Fluidized Bed: Burning Carbon Based Decentralized Active Disturbance Rejection Control," Energies, MDPI, vol. 12(6), pages 1-18, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pingyue Zhang & Jingyu Zhang & Yingshun Li & Yuhu Wu, 2020. "Nonlinear Active Disturbance Rejection Control of VGT-EGR System in Diesel Engines," Energies, MDPI, vol. 13(20), pages 1-20, October.
    2. Mohammad Qasem & Omar Mohamed & Wejdan Abu Elhaija, 2022. "Parameter Identification and Sliding Pressure Control of a Supercritical Power Plant Using Whale Optimizer," Sustainability, MDPI, vol. 14(13), pages 1-25, June.
    3. Pawel Nowak & Michal Fratczak & Patryk Grelewicz & Jacek Czeczot, 2022. "ADRC-Based Habituating Control of Double-Heater Heat Source," Energies, MDPI, vol. 15(14), pages 1-17, July.
    4. Xiaobo Cui & Pan Xu & Guohui Song & Haiming Gu & Hui Gu & Liang Wang & Hongxia Zhu, 2022. "PID Control of a Superheated Steam Temperature System Based on Integral Gain Scheduling," Energies, MDPI, vol. 15(23), pages 1-16, November.
    5. Hui-Yu Jin & Yang Chen, 2023. "First-Order Linear Active Disturbance Rejection Control for Turbofan Engines," Energies, MDPI, vol. 16(6), pages 1-17, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hui-Yu Jin & Yang Chen, 2023. "First-Order Linear Active Disturbance Rejection Control for Turbofan Engines," Energies, MDPI, vol. 16(6), pages 1-17, March.
    2. Yong-Sheng Hao & Zhuo Chen & Li Sun & Junyu Liang & Hongxia Zhu, 2020. "Multi-Objective Intelligent Optimization of Superheated Steam Temperature Control Based on Cascaded Disturbance Observer," Sustainability, MDPI, vol. 12(19), pages 1-24, October.
    3. Sun, Li & Sun, Wen & You, Fengqi, 2020. "Core temperature modelling and monitoring of lithium-ion battery in the presence of sensor bias," Applied Energy, Elsevier, vol. 271(C).
    4. Çetin, Gürcan & Özkaraca, Osman & Keçebaş, Ali, 2021. "Development of PID based control strategy in maximum exergy efficiency of a geothermal power plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    5. Wu, Zhenlong & Yuan, Jie & Liu, Yanhong & Li, Donghai & Chen, YangQuan, 2021. "An active disturbance rejection control design with actuator rate limit compensation for the ALSTOM gasifier benchmark problem," Energy, Elsevier, vol. 227(C).
    6. Hou, Guolian & Ke, Yin & Huang, Congzhi, 2021. "A flexible constant power generation scheme for photovoltaic system by error-based active disturbance rejection control and perturb & observe," Energy, Elsevier, vol. 237(C).
    7. Wu, Xialai & Chen, Junghui & Xie, Lei, 2019. "Fast economic nonlinear model predictive control strategy of Organic Rankine Cycle for waste heat recovery: Simulation-based studies," Energy, Elsevier, vol. 180(C), pages 520-534.
    8. Wu, Zhenlong & Liu, Yanhong & Li, Donghai & Chen, YangQuan, 2023. "Multivariable active disturbance rejection control for compression liquid chiller system," Energy, Elsevier, vol. 262(PA).
    9. Sun, Li & Li, Guanru & You, Fengqi, 2020. "Combined internal resistance and state-of-charge estimation of lithium-ion battery based on extended state observer," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    10. Xiaobo Cui & Pan Xu & Guohui Song & Haiming Gu & Hui Gu & Liang Wang & Hongxia Zhu, 2022. "PID Control of a Superheated Steam Temperature System Based on Integral Gain Scheduling," Energies, MDPI, vol. 15(23), pages 1-16, November.
    11. Hong, Feng & Wang, Rui & Song, Jie & Gao, Mingming & Liu, Jizhen & Long, Dongteng, 2022. "A performance evaluation framework for deep peak shaving of the CFB boiler unit based on the DBN-LSSVM algorithm," Energy, Elsevier, vol. 238(PA).
    12. Youjie Ma & Long Tao & Xuesong Zhou & Wei Li & Xueqi Shi, 2019. "Analysis and Control of Wind Power Grid Integration Based on a Permanent Magnet Synchronous Generator Using a Fuzzy Logic System with Linear Extended State Observer," Energies, MDPI, vol. 12(15), pages 1-19, July.
    13. Chen, Xi & Wang, Chunxi & Xu, Jianghai & Long, Shichun & Chai, Fasen & Li, Wenbin & Song, Xingxing & Wang, Xuepeng & Wan, Zhongmin, 2023. "Membrane humidity control of proton exchange membrane fuel cell system using fractional-order PID strategy," Applied Energy, Elsevier, vol. 343(C).
    14. Hongjin Wang & Hongguang Zhang & Fubin Yang & Songsong Song & Ying Chang & Chen Bei & Kai Yang, 2015. "Parametric Optimization of Regenerative Organic Rankine Cycle System for Diesel Engine Based on Particle Swarm Optimization," Energies, MDPI, vol. 8(9), pages 1-26, September.
    15. Teresa Donateo, 2024. "Simulation Approaches and Validation Issues for Open-Cathode Fuel Cell Systems in Manned and Unmanned Aerial Vehicles," Energies, MDPI, vol. 17(4), pages 1-38, February.
    16. Imran, Muhammad & Pili, Roberto & Usman, Muhammad & Haglind, Fredrik, 2020. "Dynamic modeling and control strategies of organic Rankine cycle systems: Methods and challenges," Applied Energy, Elsevier, vol. 276(C).
    17. Raul-Cristian Roman & Radu-Emil Precup & Emil M. Petriu & Florin Dragan, 2019. "Combination of Data-Driven Active Disturbance Rejection and Takagi-Sugeno Fuzzy Control with Experimental Validation on Tower Crane Systems," Energies, MDPI, vol. 12(8), pages 1-19, April.
    18. Teresa Donateo, 2023. "Semi-Empirical Models for Stack and Balance of Plant in Closed-Cathode Fuel Cell Systems for Aviation," Energies, MDPI, vol. 16(22), pages 1-40, November.
    19. Songsong Song & Hongguang Zhang & Rui Zhao & Fanxiao Meng & Hongda Liu & Jingfu Wang & Baofeng Yao, 2017. "Simulation and Performance Analysis of Organic Rankine Systems for Stationary Compressed Natural Gas Engine," Energies, MDPI, vol. 10(4), pages 1-23, April.
    20. Wensheng Li & Fanke Yang & Liqiang Zhong & Hao Wu & Xiangyuan Jiang & Chunbo Luo & Andrei V. Chukalin, 2023. "Attitude Control of UAVs with Search Optimization and Disturbance Rejection Strategies," Mathematics, MDPI, vol. 11(17), pages 1-16, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1757-:d:342091. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.