IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i11p2182-d238101.html
   My bibliography  Save this article

A Model Predictive Control Design for Power Generation Heavy-Duty Gas Turbines

Author

Listed:
  • Alessandro Rosini

    (Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Via Opera Pia 11, I-16145 Genova, Italy)

  • Alessandro Palmieri

    (Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Via Opera Pia 11, I-16145 Genova, Italy)

  • Damiano Lanzarotto

    (Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Via Opera Pia 11, I-16145 Genova, Italy)

  • Renato Procopio

    (Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Via Opera Pia 11, I-16145 Genova, Italy)

  • Andrea Bonfiglio

    (Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Via Opera Pia 11, I-16145 Genova, Italy)

Abstract

The new electric power generation scenario, characterized by growing variability due to the greater presence of renewable energy sources (RES), requires more restrictive dynamic requirements for conventional power generators. Among traditional power generators, gas turbines (GTs) can regulate the output electric power faster than any other type of plant; therefore, they are of considerable interest in this context. In particular, the dynamic performance of a GT, being a highly nonlinear and complex system, strongly depends on the applied control system. Proportional–integral–derivative (PID) controllers are the current standard for GT control. However, since such controllers have limitations for various reasons, a model predictive control (MPC) was designed in this study to enhance GT performance in terms of dynamic behavior and robustness to model uncertainties. A comparison with traditional PID-based controllers and alternative model-based control approaches (feedback linearization control) found in the literature demonstrated the effectiveness of the proposed approach.

Suggested Citation

  • Alessandro Rosini & Alessandro Palmieri & Damiano Lanzarotto & Renato Procopio & Andrea Bonfiglio, 2019. "A Model Predictive Control Design for Power Generation Heavy-Duty Gas Turbines," Energies, MDPI, vol. 12(11), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:11:p:2182-:d:238101
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/11/2182/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/11/2182/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Panwar, N.L. & Kaushik, S.C. & Kothari, Surendra, 2011. "Role of renewable energy sources in environmental protection: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1513-1524, April.
    2. Bonfiglio, A. & Cacciacarne, S. & Invernizzi, M. & Procopio, R. & Schiano, S. & Torre, I., 2017. "Gas turbine generating units control via feedback linearization approach," Energy, Elsevier, vol. 121(C), pages 491-512.
    3. Pires, Thiago S. & Cruz, Manuel E. & Colaço, Marcelo J. & Alves, Marco A.C., 2018. "Application of nonlinear multivariable model predictive control to transient operation of a gas turbine and NOX emissions reduction," Energy, Elsevier, vol. 149(C), pages 341-353.
    4. M. S. Dresselhaus & I. L. Thomas, 2001. "Alternative energy technologies," Nature, Nature, vol. 414(6861), pages 332-337, November.
    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. Hamza Fawzy & Qun Zheng & Naseem Ahmad & Yuting Jiang, 2020. "Optimization of A Swirl with Impingement Compound Cooling Unit for A Gas Turbine Blade Leading Edge," Energies, MDPI, vol. 13(1), pages 1-23, January.
    2. Omar Mohamed & Ashraf Khalil, 2020. "Progress in Modeling and Control of Gas Turbine Power Generation Systems: A Survey," Energies, MDPI, vol. 13(9), pages 1-26, May.

    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. Huang, Zhe & Lu, Lu & Jiang, Daqian & Xing, Defeng & Ren, Zhiyong Jason, 2017. "Electrochemical hythane production for renewable energy storage and biogas upgrading," Applied Energy, Elsevier, vol. 187(C), pages 595-600.
    2. Xiaoqin Si & Rui Lu & Zhitong Zhao & Xiaofeng Yang & Feng Wang & Huifang Jiang & Xiaolin Luo & Aiqin Wang & Zhaochi Feng & Jie Xu & Fang Lu, 2022. "Catalytic production of low-carbon footprint sustainable natural gas," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    3. Mahtta, Richa & Joshi, P.K. & Jindal, Alok Kumar, 2014. "Solar power potential mapping in India using remote sensing inputs and environmental parameters," Renewable Energy, Elsevier, vol. 71(C), pages 255-262.
    4. Cala, Anggie & Maturana-Córdoba, Aymer & Soto-Verjel, Joseph, 2023. "Exploring the pretreatments' influence on pressure reverse osmosis: PRISMA review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    5. Karatayev, Marat & Clarke, Michèle L., 2016. "A review of current energy systems and green energy potential in Kazakhstan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 491-504.
    6. Hosseini, Seyed Ehsan & Wahid, Mazlan Abdul, 2014. "Development of biogas combustion in combined heat and power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 868-875.
    7. Dey, Subhashish & Sreenivasulu, Anduri & Veerendra, G.T.N. & Rao, K. Venkateswara & Babu, P.S.S. Anjaneya, 2022. "Renewable energy present status and future potentials in India: An overview," Innovation and Green Development, Elsevier, vol. 1(1).
    8. Aikifa Raza & Jin-You Lu & Safa Alzaim & Hongxia Li & TieJun Zhang, 2018. "Novel Receiver-Enhanced Solar Vapor Generation: Review and Perspectives," Energies, MDPI, vol. 11(1), pages 1-29, January.
    9. Ahmadi, Pouria & Dincer, Ibrahim & Rosen, Marc A., 2014. "Thermoeconomic multi-objective optimization of a novel biomass-based integrated energy system," Energy, Elsevier, vol. 68(C), pages 958-970.
    10. Sofia Dahlgren & Jonas Ammenberg, 2021. "Sustainability Assessment of Public Transport, Part II—Applying a Multi-Criteria Assessment Method to Compare Different Bus Technologies," Sustainability, MDPI, vol. 13(3), pages 1-30, January.
    11. Fang, Yiping & Wei, Yanqiang, 2013. "Climate change adaptation on the Qinghai–Tibetan Plateau: The importance of solar energy utilization for rural household," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 508-518.
    12. Zhang, Zhonghao & Guo, Mengdi & Yu, Zhonghao & Yao, Siyue & Wang, Jin & Qiu, Diankai & Peng, Linfa, 2022. "A novel cooperative design with optimized flow field on bipolar plates and hybrid wettability gas diffusion layer for proton exchange membrane unitized regenerative fuel cell," Energy, Elsevier, vol. 239(PD).
    13. Rawat, Rahul & Kaushik, S.C. & Lamba, Ravita, 2016. "A review on modeling, design methodology and size optimization of photovoltaic based water pumping, standalone and grid connected system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1506-1519.
    14. Iwona Bąk & Anna Spoz & Magdalena Zioło & Marek Dylewski, 2021. "Dynamic Analysis of the Similarity of Objects in Research on the Use of Renewable Energy Resources in European Union Countries," Energies, MDPI, vol. 14(13), pages 1-24, July.
    15. Jacqueline Noga & Gregor Wolbring, 2014. "The Oil and Gas Discourse from the Perspective of the Canadian and Albertan Governments, Non-Governmental Organizations and the Oil and Gas Industry," Energies, MDPI, vol. 7(1), pages 1-20, January.
    16. Choudhary, Ram Bilash & Ansari, Sarfaraz & Majumder, Mandira, 2021. "Recent advances on redox active composites of metal-organic framework and conducting polymers as pseudocapacitor electrode material," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    17. Munawar, Muhammad Assad & Khoja, Asif Hussain & Naqvi, Salman Raza & Mehran, Muhammad Taqi & Hassan, Muhammad & Liaquat, Rabia & Dawood, Usama Fida, 2021. "Challenges and opportunities in biomass ash management and its utilization in novel applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    18. Koide, Hiroaki & Kurniawan, Ade & Takahashi, Tatsuya & Kawaguchi, Takahiro & Sakai, Hiroki & Sato, Yusuke & Chiu, Justin NW. & Nomura, Takahiro, 2022. "Performance analysis of packed bed latent heat storage system for high-temperature thermal energy storage using pellets composed of micro-encapsulated phase change material," Energy, Elsevier, vol. 238(PC).
    19. Avri Eitan, 2021. "Promoting Renewable Energy to Cope with Climate Change—Policy Discourse in Israel," Sustainability, MDPI, vol. 13(6), pages 1-17, March.
    20. Punia Sindhu, Sonal & Nehra, Vijay & Luthra, Sunil, 2016. "Recognition and prioritization of challenges in growth of solar energy using analytical hierarchy process: Indian outlook," Energy, Elsevier, vol. 100(C), pages 332-348.

    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:12:y:2019:i:11:p:2182-:d:238101. 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.