IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i11p4495-d1162649.html
   My bibliography  Save this article

Ocean Wave Energy Control Using Aquila Optimization Technique

Author

Listed:
  • Sunil Kumar Mishra

    (School of Electrical Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, India)

  • Amitkumar V. Jha

    (School of Electrical Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, India)

  • Bhargav Appasani

    (School of Electrical Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, India)

  • Nicu Bizon

    (Faculty of Electronics, Communication and Computers, University of Pitesti, 110040 Pitesti, Romania
    ICSI Energy, National Research and Development Institute for Cryogenic and Isotopic Technologies, 240050 Ramnicu Valcea, Romania
    Doctoral School, Polytechnic University of Bucharest, 313 Splaiul Independentei, 060042 Bucharest, Romania)

  • Phatiphat Thounthong

    (Renewable Energy Research Centre (RERC), Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand
    Group of Research in Electrical Engineering of Nancy (GREEN), University of Lorraine-GREEN, 54000 Nancy, France)

  • Pongsiri Mungporn

    (Renewable Energy Research Centre (RERC), Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand)

Abstract

This paper presents ocean wave energy control using the Aquila optimization (AO) technique. An oscillating water column (OWC)-type wave energy converter has been considered that is fitted with a Wells turbine and doubly fed induction generator (DFIG). To achieve maximum power point tracking (MPPT), the rotor speed of the DFIG must be controlled as per the MPPT law. The MPPT law is designed in such a way that the Wells turbine flow coefficient remains within the threshold limit. It avoids the turbine from stalling which generates the maximum power. The MPPT law provides the reference rotor speed which is followed by the actual rotor speed. For this, a backstepping controller (BSC)-based rotational speed control strategy has been designed using the Lyapunov stability theory. The BSC has unknown control parameters which should be selected such that tracking errors are minimum. Hence, the objective of this work is to find the unknown control parameters using an optimization approach. The optimization approach of selecting BSC control parameters for an OWC plant has not been explored yet. To achieve this, an integral square error (ISE)-type fitness function has been defined and minimized using the AO technique. The results achieved using the AO technique have been compared with particle swarm optimization (PSO) and a genetic algorithm (GA), validating its superior performance. The rotor speed error maximum peak overshoot is least for AO-BSC as compared to PSO-BSC and GA-BSC. The fitness function value for AO comes out to be least among all the optimization methods applied. However, all tested methods provide satisfactory results in terms of turbine flow coefficient, rotor speed and output power. The approach paves the way for future research on ocean wave energy control.

Suggested Citation

  • Sunil Kumar Mishra & Amitkumar V. Jha & Bhargav Appasani & Nicu Bizon & Phatiphat Thounthong & Pongsiri Mungporn, 2023. "Ocean Wave Energy Control Using Aquila Optimization Technique," Energies, MDPI, vol. 16(11), pages 1-21, June.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4495-:d:1162649
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/11/4495/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/11/4495/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ceballos, Salvador & Rea, Judy & Robles, Eider & Lopez, Iraide & Pou, Josep & O'Sullivan, Dara, 2015. "Control strategies for combining local energy storage with wells turbine oscillating water column devices," Renewable Energy, Elsevier, vol. 83(C), pages 1097-1109.
    2. Sunil Kumar Mishra & Bhargav Appasani & Amitkumar Vidyakant Jha & Izaskun Garrido & Aitor J. Garrido, 2020. "Centralized Airflow Control to Reduce Output Power Variation in a Complex OWC Ocean Energy Network," Complexity, Hindawi, vol. 2020, pages 1-16, August.
    3. Ahmed Darwish & George A. Aggidis, 2022. "A Review on Power Electronic Topologies and Control for Wave Energy Converters," Energies, MDPI, vol. 15(23), pages 1-24, December.
    4. Maurice Clerc, 2010. "Beyond Standard Particle Swarm Optimisation," International Journal of Swarm Intelligence Research (IJSIR), IGI Global, vol. 1(4), pages 46-61, October.
    5. Henriques, J.C.C. & Gato, L.M.C. & Lemos, J.M. & Gomes, R.P.F. & Falcão, A.F.O., 2016. "Peak-power control of a grid-integrated oscillating water column wave energy converter," Energy, Elsevier, vol. 109(C), pages 378-390.
    6. John M. Crooks & Rodward L. Hewlin & Wesley B. Williams, 2022. "Computational Design Analysis of a Hydrokinetic Horizontal Parallel Stream Direct Drive Counter-Rotating Darrieus Turbine System: A Phase One Design Analysis Study," Energies, MDPI, vol. 15(23), pages 1-25, November.
    7. 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.
    8. Aleix Maria-Arenas & Aitor J. Garrido & Eugen Rusu & Izaskun Garrido, 2019. "Control Strategies Applied to Wave Energy Converters: State of the Art," Energies, MDPI, vol. 12(16), pages 1-19, August.
    9. Zhaozhi Wang & Shemeng Wu & Kai-Hung Lu, 2022. "Improvement of Stability in an Oscillating Water Column Wave Energy Using an Adaptive Intelligent Controller," Energies, MDPI, vol. 16(1), pages 1-15, December.
    10. Chan Roh & Kyong-Hwan Kim, 2022. "Deep Learning Prediction for Rotational Speed of Turbine in Oscillating Water Column-Type Wave Energy Converter," Energies, MDPI, vol. 15(2), pages 1-22, January.
    11. Ali Thaeer Hammid & Omar I. Awad & Mohd Herwan Sulaiman & Saraswathy Shamini Gunasekaran & Salama A. Mostafa & Nallapaneni Manoj Kumar & Bashar Ahmad Khalaf & Yasir Amer Al-Jawhar & Raed Abdulkareem A, 2020. "A Review of Optimization Algorithms in Solving Hydro Generation Scheduling Problems," Energies, MDPI, vol. 13(11), pages 1-21, June.
    12. Cristian Napole & Oscar Barambones & Mohamed Derbeli & José Antonio Cortajarena & Isidro Calvo & Patxi Alkorta & Pablo Fernandez Bustamante, 2021. "Double Fed Induction Generator Control Design Based on a Fuzzy Logic Controller for an Oscillating Water Column System," Energies, MDPI, vol. 14(12), pages 1-19, June.
    Full references (including those not matched with items on IDEAS)

    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. Lorenzo Ciappi & Lapo Cheli & Irene Simonetti & Alessandro Bianchini & Giampaolo Manfrida & Lorenzo Cappietti, 2020. "Wave-to-Wire Model of an Oscillating-Water-Column Wave Energy Converter and Its Application to Mediterranean Energy Hot-Spots," Energies, MDPI, vol. 13(21), pages 1-28, October.
    2. 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.
    3. Faÿ, François-Xavier & Robles, Eider & Marcos, Marga & Aldaiturriaga, Endika & Camacho, Eduardo F., 2020. "Sea trial results of a predictive algorithm at the Mutriku Wave power plant and controllers assessment based on a detailed plant model," Renewable Energy, Elsevier, vol. 146(C), pages 1725-1745.
    4. Silva, Jorge Marques & Vieira, Susana M. & Valério, Duarte & Henriques, João C.C., 2023. "GA-optimized inverse fuzzy model control of OWC wave power plants," Renewable Energy, Elsevier, vol. 204(C), pages 556-568.
    5. Falcão, A.F.O. & Henriques, J.C.C. & Gato, L.M.C., 2017. "Rotational speed control and electrical rated power of an oscillating-water-column wave energy converter," Energy, Elsevier, vol. 120(C), pages 253-261.
    6. Correia da Fonseca, F.X. & Henriques, J.C.C. & Gato, L.M.C. & Falcão, A.F.O., 2019. "Oscillating flow rig for air turbine testing," Renewable Energy, Elsevier, vol. 142(C), pages 373-382.
    7. Henriques, J.C.C. & Portillo, J.C.C. & Gato, L.M.C. & Gomes, R.P.F. & Ferreira, D.N. & Falcão, A.F.O., 2016. "Design of oscillating-water-column wave energy converters with an application to self-powered sensor buoys," Energy, Elsevier, vol. 112(C), pages 852-867.
    8. Tunde Aderinto & Hua Li, 2019. "Review on Power Performance and Efficiency of Wave Energy Converters," Energies, MDPI, vol. 12(22), pages 1-24, November.
    9. 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.
    10. Sunil Kumar Mishra & Amitkumar V. Jha & Vijay Kumar Verma & Bhargav Appasani & Almoataz Y. Abdelaziz & Nicu Bizon, 2021. "An Optimized Triggering Algorithm for Event-Triggered Control of Networked Control Systems," Mathematics, MDPI, vol. 9(11), pages 1-22, May.
    11. 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.
    12. 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.
    13. Markel Penalba & John V. Ringwood, 2016. "A Review of Wave-to-Wire Models for Wave Energy Converters," Energies, MDPI, vol. 9(7), pages 1-45, June.
    14. Henriques, J.C.C. & Portillo, J.C.C. & Sheng, W. & Gato, L.M.C. & Falcão, A.F.O., 2019. "Dynamics and control of air turbines in oscillating-water-column wave energy converters: Analyses and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 571-589.
    15. Gimara Rajapakse & Shantha Jayasinghe & Alan Fleming & Michael Negnevitsky, 2017. "A Model Predictive Control-Based Power Converter System for Oscillating Water Column Wave Energy Converters," Energies, MDPI, vol. 10(10), pages 1-17, October.
    16. Yao, Ganzhou & Luo, Zirong & Lu, Zhongyue & Wang, Mangkuan & Shang, Jianzhong & Guerrerob, Josep M., 2023. "Unlocking the potential of wave energy conversion: A comprehensive evaluation of advanced maximum power point tracking techniques and hybrid strategies for sustainable energy harvesting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    17. Nallapaneni Manoj Kumar & Aneesh A. Chand & Maria Malvoni & Kushal A. Prasad & Kabir A. Mamun & F.R. Islam & Shauhrat S. Chopra, 2020. "Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids," Energies, MDPI, vol. 13(21), pages 1-42, November.
    18. Hayrettin Bora Karayaka & Yi-Hsiang Yu & Eduard Muljadi, 2021. "Investigations into Balancing Peak-to-Average Power Ratio and Mean Power Extraction for a Two-Body Point-Absorber Wave Energy Converter," Energies, MDPI, vol. 14(12), pages 1-24, June.
    19. 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).
    20. Correia da Fonseca, F.X. & Gomes, R.P.F. & Henriques, J.C.C. & Gato, L.M.C. & Falcão, A.F.O., 2016. "Model testing of an oscillating water column spar-buoy wave energy converter isolated and in array: Motions and mooring forces," Energy, Elsevier, vol. 112(C), pages 1207-1218.

    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:16:y:2023:i:11:p:4495-:d:1162649. 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.