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. 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).
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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. Zichen Lu & Ying Yan, 2024. "Temperature Control of Fuel Cell Based on PEI-DDPG," Energies, MDPI, vol. 17(7), pages 1-19, April.
    5. Kai Yang & Hongguang Zhang & Songsong Song & Jian Zhang & Yuting Wu & Yeqiang Zhang & Hongjin Wang & Ying Chang & Chen Bei, 2014. "Performance Analysis of the Vehicle Diesel Engine-ORC Combined System Based on a Screw Expander," Energies, MDPI, vol. 7(5), pages 1-20, May.
    6. 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).
    7. 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).
    8. 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).
    9. 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.
    10. Wu, Zhenlong & Liu, Yanhong & Li, Donghai & Chen, YangQuan, 2023. "Multivariable active disturbance rejection control for compression liquid chiller system," Energy, Elsevier, vol. 262(PA).
    11. Patrick Linke & Athanasios I. Papadopoulos & Panos Seferlis, 2015. "Systematic Methods for Working Fluid Selection and the Design, Integration and Control of Organic Rankine Cycles—A Review," Energies, MDPI, vol. 8(6), pages 1-47, May.
    12. 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.
    13. 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).
    14. 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.
    15. 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).
    16. Youjie Ma & Faqing Zhao & Xuesong Zhou & Mao Liu & Bao Yang, 2019. "DC Side Bus Voltage Control of Wind Power Grid-Connected Inverter Based on Second-Order Linear Active Disturbance Rejection Control," Energies, MDPI, vol. 12(22), pages 1-20, November.
    17. Yurdagül Benteşen Yakut, 2024. "Optimization of Proportional–Integral (PI) and Fractional-Order Proportional–Integral (FOPI) Parameters Using Particle Swarm Optimization/Genetic Algorithm (PSO/GA) in a DC/DC Converter for Improving ," Energies, MDPI, vol. 17(4), pages 1-20, February.
    18. Zhiming Zhang & Hui Ren & Song Hu & Xinfeng Zhang & Tong Zhang & Jiaming Zhou & Shangfeng Jiang & Tao Yu & Bo Deng, 2022. "Arrangement of Belleville Springs on Endplates Combined with Optimal Cross-Sectional Shape in PEMFC Stack Using Equivalent Beam Modeling and FEA," Sustainability, MDPI, vol. 14(23), pages 1-13, November.
    19. Vadim Davydov & Irena Gureeva & Roman Davydov & Valentin Dudkin, 2022. "Flowing Refractometer for Feed Water State Control in the Second Loop of Nuclear Reactor," Energies, MDPI, vol. 15(2), pages 1-10, January.
    20. 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.

    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.