IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v138y2021ics1364032120308042.html
   My bibliography  Save this article

Development of a constraint non-causal wave energy control algorithm based on artificial intelligence

Author

Listed:
  • Li, L.
  • Gao, Y.
  • Ning, D.Z.
  • Yuan, Z.M.

Abstract

The real-time implementation of wave energy control leads to non-causality as the wave load that comes in the next few seconds is used to optimize the control command. The present work tackles non-causality through online forecasting of future wave force using artificial intelligence technique. The past free surface elevation is used to forecast the incoming wave load. A feedforward artificial neural network is developed for the forecasting, which learns to establish the intrinsic link between past free surface elevation and future wave force through machine learning algorithm. With the implementation of the developed online wave force prediction algorithm, a real-time discrete control algorithm taking constraint on response amplitude into account is developed and implemented to a bi-oscillator wave energy converter in the present research. The dynamic response and the wave power extraction are simulated using a state-space hydrodynamic model. It is shown that the developed real-time control algorithm enhances the power capture substantially whereas the motion of the system is hardly increased. The prediction error effect on power extraction is investigated. The reduction of power extraction is mainly caused by phase error, whilst the amplitude error has minimal influence. A link between the power capture efficiency and the constraint on control is also identified.

Suggested Citation

  • Li, L. & Gao, Y. & Ning, D.Z. & Yuan, Z.M., 2021. "Development of a constraint non-causal wave energy control algorithm based on artificial intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    • Handle: RePEc:eee:rensus:v:138:y:2021:i:c:s1364032120308042
    DOI: 10.1016/j.rser.2020.110519
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032120308042
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2020.110519?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sheng, Wanan & Alcorn, Raymond & Lewis, Anthony, 2015. "On improving wave energy conversion, part II: Development of latching control technologies," Renewable Energy, Elsevier, vol. 75(C), pages 935-944.
    2. Li, Liang & Gao, Zhen, 2020. "Maximization of wave power extraction of a heave point absorber with a sea-state-based causal control algorithm," Energy, Elsevier, vol. 204(C).
    3. Wu, Jinming & Yao, Yingxue & Zhou, Liang & Göteman, Malin, 2018. "Real-time latching control strategies for the solo Duck wave energy converter in irregular waves," Applied Energy, Elsevier, vol. 222(C), pages 717-728.
    4. Henriques, J.C.C. & Gato, L.M.C. & Falcão, A.F.O. & Robles, E. & Faÿ, F.-X., 2016. "Latching control of a floating oscillating-water-column wave energy converter," Renewable Energy, Elsevier, vol. 90(C), pages 229-241.
    5. Ning, De-zhi & Wang, Rong-quan & Chen, Li-fen & Sun, Ke, 2019. "Experimental investigation of a land-based dual-chamber OWC wave energy converter," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 48-60.
    6. Sheng, Wanan & Alcorn, Raymond & Lewis, Anthony, 2015. "On improving wave energy conversion, part I: Optimal and control technologies," Renewable Energy, Elsevier, vol. 75(C), pages 922-934.
    7. Wu, Shuping & Liu, Chuanyu & Chen, Xinping, 2015. "Offshore wave energy resource assessment in the East China Sea," Renewable Energy, Elsevier, vol. 76(C), pages 628-636.
    8. Li, Liang & Yuan, Zhiming & Gao, Yan, 2018. "Maximization of energy absorption for a wave energy converter using the deep machine learning," Energy, Elsevier, vol. 165(PA), pages 340-349.
    9. Zabala, I. & Henriques, J.C.C. & Blanco, J.M. & Gomez, A. & Gato, L.M.C. & Bidaguren, I. & Falcão, A.F.O. & Amezaga, A. & Gomes, R.P.F., 2019. "Wave-induced real-fluid effects in marine energy converters: Review and application to OWC devices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 535-549.
    10. Penalba, Markel & Giorgi, Giussepe & Ringwood, John V., 2017. "Mathematical modelling of wave energy converters: A review of nonlinear approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1188-1207.
    11. Li, Guang & Belmont, Mike R., 2014. "Model predictive control of sea wave energy converters – Part II: The case of an array of devices," Renewable Energy, Elsevier, vol. 68(C), pages 540-549.
    12. Li, Guang & Belmont, Michael R., 2014. "Model predictive control of sea wave energy converters – Part I: A convex approach for the case of a single device," Renewable Energy, Elsevier, vol. 69(C), pages 453-463.
    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. Zhang, Yongxing & Huang, Zhicong & Zou, Bowei & Bian, Jing, 2023. "Conceptual design and analysis for a novel parallel configuration-type wave energy converter," Renewable Energy, Elsevier, vol. 208(C), pages 627-644.
    2. He, Guanghua & Luan, Zhengxiao & Zhang, Wei & He, Runhua & Liu, Chaogang & Yang, Kaibo & Yang, Changhao & Jing, Penglin & Zhang, Zhigang, 2023. "Review on research approaches for multi-point absorber wave energy converters," Renewable Energy, Elsevier, vol. 218(C).
    3. Seyed Milad Mousavi & Majid Ghasemi & Mahsa Dehghan Manshadi & Amir Mosavi, 2021. "Deep Learning for Wave Energy Converter Modeling Using Long Short-Term Memory," Mathematics, MDPI, vol. 9(8), pages 1-16, April.
    4. Wang, Mangkuan & Shang, Jianzhong & Luo, Zirong & Lu, Zhongyue & Yao, Ganzhou, 2023. "Theoretical and numerical studies on improving absorption power of multi-body wave energy convert device with nonlinear bistable structure," Energy, Elsevier, vol. 282(C).
    5. Papini, Guglielmo & Faedo, Nicolás & Mattiazzo, Giuliana, 2024. "Fault diagnosis and fault-tolerant control in wave energy: A perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    6. Hall, Carrie & Sheng, Wanan & Wu, Yueqi & Aggidis, George, 2024. "The impact of model predictive control structures and constraints on a wave energy converter with hydraulic power take off system," Renewable Energy, Elsevier, vol. 224(C).
    7. Pasta, Edoardo & Faedo, Nicolás & Mattiazzo, Giuliana & Ringwood, John V., 2023. "Towards data-driven and data-based control of wave energy systems: Classification, overview, and critical assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    8. Li, Liang & Gao, Yan, 2023. "Development of a real-time wave energy control with consideration of control latency," Energy, Elsevier, vol. 277(C).
    9. Ahmed Elkhatat & Shaheen A. Al-Muhtaseb, 2023. "Combined “Renewable Energy–Thermal Energy Storage (RE–TES)” Systems: A Review," Energies, MDPI, vol. 16(11), pages 1-46, June.

    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. Faÿ, François-Xavier & Henriques, João C. & Kelly, James & Mueller, Markus & Abusara, Moahammad & Sheng, Wanan & Marcos, Marga, 2020. "Comparative assessment of control strategies for the biradial turbine in the Mutriku OWC plant," Renewable Energy, Elsevier, vol. 146(C), pages 2766-2784.
    2. Shadman, Milad & Guarniz Avalos, Gustavo Omar & Estefen, Segen F., 2021. "On the power performance of a wave energy converter with a direct mechanical drive power take-off system controlled by latching," Renewable Energy, Elsevier, vol. 169(C), pages 157-177.
    3. Ozkop, Emre & Altas, Ismail H., 2017. "Control, power and electrical components in wave energy conversion systems: A review of the technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 106-115.
    4. Del Pozo Gonzalez, Hector & Bianchi, Fernando D. & Dominguez-Garcia, Jose Luis & Gomis-Bellmunt, Oriol, 2023. "Co-located wind-wave farms: Optimal control and grid integration," Energy, Elsevier, vol. 272(C).
    5. Pasta, Edoardo & Faedo, Nicolás & Mattiazzo, Giuliana & Ringwood, John V., 2023. "Towards data-driven and data-based control of wave energy systems: Classification, overview, and critical assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    6. Zhou, Yu & Ning, Dezhi & Liang, Dongfang & Cai, Shuqun, 2021. "Nonlinear hydrodynamic analysis of an offshore oscillating water column wave energy converter," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    7. Ni, Wenchi & Zhang, Xu & Zhang, Wei & Liang, Shuangling, 2021. "Numerical investigation of adaptive damping control for raft-type wave energy converters," Renewable Energy, Elsevier, vol. 175(C), pages 520-531.
    8. Zhang, Xiantao & Tian, Xinliang & Xiao, Longfei & Li, Xin & Chen, Lifen, 2018. "Application of an adaptive bistable power capture mechanism to a point absorber wave energy converter," Applied Energy, Elsevier, vol. 228(C), pages 450-467.
    9. Shadmani, Alireza & Nikoo, Mohammad Reza & Gandomi, Amir H. & Chen, Mingjie & Nazari, Rouzbeh, 2024. "Advancements in optimizing wave energy converter geometry utilizing metaheuristic algorithms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    10. Younesian, Davood & Alam, Mohammad-Reza, 2017. "Multi-stable mechanisms for high-efficiency and broadband ocean wave energy harvesting," Applied Energy, Elsevier, vol. 197(C), pages 292-302.
    11. Li, Liang & Gao, Yan, 2023. "Development of a real-time wave energy control with consideration of control latency," Energy, Elsevier, vol. 277(C).
    12. Temiz, Irina & Leijon, Jennifer & Ekergård, Boel & Boström, Cecilia, 2018. "Economic aspects of latching control for a wave energy converter with a direct drive linear generator power take-off," Renewable Energy, Elsevier, vol. 128(PA), pages 57-67.
    13. Haeng Sik Ko & Sangho Kim & Yoon Hyeok Bae, 2021. "Study on Optimum Power Take-Off Torque of an Asymmetric Wave Energy Converter in Western Sea of Jeju Island," Energies, MDPI, vol. 14(5), pages 1-12, March.
    14. Zhang, Zhenquan & Qin, Jian & Zhang, Yuchen & Huang, Shuting & Liu, Yanjun & Xue, Gang, 2023. "Cooperative model predictive control for Wave Energy Converter arrays," Renewable Energy, Elsevier, vol. 219(P1).
    15. Zou, Shangyan & Abdelkhalik, Ossama, 2020. "Collective control in arrays of wave energy converters," Renewable Energy, Elsevier, vol. 156(C), pages 361-369.
    16. Soudan, Bassel, 2019. "Community-scale baseload generation from marine energy," Energy, Elsevier, vol. 189(C).
    17. Haraguchi, Ruriko & Asai, Takehiko, 2020. "Enhanced power absorption of a point absorber wave energy converter using a tuned inertial mass," Energy, Elsevier, vol. 202(C).
    18. Yadong Wen & Weijun Wang & Hua Liu & Longbo Mao & Hongju Mi & Wenqiang Wang & Guoping Zhang, 2018. "A Shape Optimization Method of a Specified Point Absorber Wave Energy Converter for the South China Sea," Energies, MDPI, vol. 11(10), pages 1-22, October.
    19. Cuadra, L. & Salcedo-Sanz, S. & Nieto-Borge, J.C. & Alexandre, E. & Rodríguez, G., 2016. "Computational intelligence in wave energy: Comprehensive review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1223-1246.
    20. Son, Daewoong & Yeung, Ronald W., 2017. "Real-time implementation and validation of optimal damping control for a permanent-magnet linear generator in wave energy extraction," Applied Energy, Elsevier, vol. 208(C), pages 571-579.

    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:eee:rensus:v:138:y:2021:i:c:s1364032120308042. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.