IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i10p1631-d115365.html
   My bibliography  Save this article

A Model Predictive Control-Based Power Converter System for Oscillating Water Column Wave Energy Converters

Author

Listed:
  • Gimara Rajapakse

    (Australian Maritime College, University of Tasmania, Newnham, Tasmania 7248, Australia)

  • Shantha Jayasinghe

    (Australian Maritime College, University of Tasmania, Newnham, Tasmania 7248, Australia)

  • Alan Fleming

    (Australian Maritime College, University of Tasmania, Newnham, Tasmania 7248, Australia)

  • Michael Negnevitsky

    (Centre for Renewable Energy and Power Systems, University of Tasmania, Hobart, Tasmania 7001, Australia)

Abstract

Despite the predictability and availability at large scale, wave energy conversion (WEC) has still not become a mainstream renewable energy technology. One of the main reasons is the large variations in the extracted power which could lead to instabilities in the power grid. In addition, maintaining the speed of the turbine within optimal range under changing wave conditions is another control challenge, especially in oscillating water column (OWC) type WEC systems. As a solution to the first issue, this paper proposes the direct connection of a battery bank into the dc-link of the back-to-back power converter system, thereby smoothening the power delivered to the grid. For the second issue, model predictive controllers (MPCs) are developed for the rectifier and the inverter of the back-to-back converter system aiming to maintain the turbine speed within its optimum range. In addition, MPC controllers are designed to control the battery current as well, in both charging and discharging conditions. Operations of the proposed battery direct integration scheme and control solutions are verified through computer simulations. Simulation results show that the proposed integrated energy storage and control solutions are capable of delivering smooth power to the grid while maintaining the turbine speed within its optimum range under varying wave conditions.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1631-:d:115365
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/10/1631/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/10/10/1631/
    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. Mehrasa, Majid & Pouresmaeil, Edris & Akorede, Mudathir Funsho & Jørgensen, Bo Nørregaard & Catalão, João P.S., 2015. "Multilevel converter control approach of active power filter for harmonics elimination in electric grids," Energy, Elsevier, vol. 84(C), pages 722-731.
    3. Anna Stegman & Adrian De Andres & Henry Jeffrey & Lars Johanning & Stuart Bradley, 2017. "Exploring Marine Energy Potential in the UK Using a Whole Systems Modelling Approach," Energies, MDPI, vol. 10(9), pages 1-20, August.
    4. Tien Hai Nguyen & Kyeong-Hwa Kim, 2017. "Finite Control Set–Model Predictive Control with Modulation to Mitigate Harmonic Component in Output Current for a Grid-Connected Inverter under Distorted Grid Conditions," Energies, MDPI, vol. 10(7), pages 1-25, July.
    5. Sultana, W. Razia & Sahoo, Sarat Kumar & Sukchai, Sukruedee & Yamuna, S. & Venkatesh, D., 2017. "A review on state of art development of model predictive control for renewable energy applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 391-406.
    6. Yu Zou & Ka Wai Eric Cheng, 2017. "A Vertical Flux-Switching Permanent Magnet Based Oscillating Wave Power Generator with Energy Storage," Energies, MDPI, vol. 10(7), pages 1-19, June.
    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. Po Li & Ruiyu Li & Haifeng Feng, 2018. "Total Harmonic Distortion Oriented Finite Control Set Model Predictive Control for Single-Phase Inverters," Energies, MDPI, vol. 11(12), pages 1-15, December.
    2. Gimara Rajapakse & Shantha Jayasinghe & Alan Fleming, 2020. "Power Smoothing and Energy Storage Sizing of Vented Oscillating Water Column Wave Energy Converter Arrays," Energies, MDPI, vol. 13(5), pages 1-13, March.
    3. 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.
    4. Gimara Rajapakse & Shantha Jayasinghe & Alan Fleming & Michael Negnevitsky, 2018. "Grid Integration and Power Smoothing of an Oscillating Water Column Wave Energy Converter," Energies, MDPI, vol. 11(7), pages 1-19, July.

    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. Matthias Schiesser & Sébastien Wasterlain & Mario Marchesoni & Mauro Carpita, 2018. "A Simplified Design Strategy for Multi-Resonant Current Control of a Grid-Connected Voltage Source Inverter with an LCL Filter," Energies, MDPI, vol. 11(3), pages 1-15, March.
    2. Gimara Rajapakse & Shantha Jayasinghe & Alan Fleming & Michael Negnevitsky, 2018. "Grid Integration and Power Smoothing of an Oscillating Water Column Wave Energy Converter," Energies, MDPI, vol. 11(7), pages 1-19, July.
    3. Peerzada, Aaqib & Hanif, Sarmad & Tarekegne, Bethel & Baldwin, Diane & Bhattacharya, Saptarshi, 2024. "On the impact of tidal generation and energy storage integration in PV-rich electric distribution systems," Applied Energy, Elsevier, vol. 357(C).
    4. Eva Segura & Rafael Morales & José A. Somolinos, 2017. "Cost Assessment Methodology and Economic Viability of Tidal Energy Projects," Energies, MDPI, vol. 10(11), pages 1-27, November.
    5. Chenglong Guo & Wanan Sheng & Dakshina G. De Silva & George Aggidis, 2023. "A Review of the Levelized Cost of Wave Energy Based on a Techno-Economic Model," Energies, MDPI, vol. 16(5), pages 1-30, February.
    6. Hadi Hosseini Kordkheili & Mahdi Banejad & Ali Akbarzadeh Kalat & Edris Pouresmaeil & João P. S. Catalão, 2018. "Direct-Lyapunov-Based Control Scheme for Voltage Regulation in a Three-Phase Islanded Microgrid with Renewable Energy Sources," Energies, MDPI, vol. 11(5), pages 1-18, May.
    7. Ventosa-Cutillas, Antonio & Montero-Robina, Pablo & Cuesta, Federico & Gordillo, Francisco, 2020. "A simple modulation approach for interfacing three-level Neutral-Point-Clamped converters to the grid," Energy, Elsevier, vol. 205(C).
    8. Hemakesavulu Oruganti & Subranshu Sekhar Dash & Chellammal Nallaperumal & Sridhar Ramasamy, 2018. "A Proportional Resonant Controller for Suppressing Resonance in Grid Tied Multilevel Inverter," Energies, MDPI, vol. 11(5), pages 1-15, April.
    9. 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.
    10. Cheng-Kai Lin & Jen-te Yu & Hao-Qun Huang & Jyun-Ting Wang & Hsing-Cheng Yu & Yen-Shin Lai, 2018. "A Dual-Voltage-Vector Model-Free Predictive Current Controller for Synchronous Reluctance Motor Drive Systems," Energies, MDPI, vol. 11(7), pages 1-29, July.
    11. Wu, Jinhui & Yang, Fuwen, 2023. "A dual-driven predictive control for photovoltaic-diesel microgrid secondary frequency regulation," Applied Energy, Elsevier, vol. 334(C).
    12. Ramon Guzmán & Luís García de Vicuña & Miguel Castilla & Jaume Miret & Antonio Camacho, 2017. "Finite Control Set Model Predictive Control for a Three-Phase Shunt Active Power Filter with a Kalman Filter-Based Estimation," Energies, MDPI, vol. 10(10), pages 1-14, October.
    13. Quan, Shengwei & Wang, Ya-Xiong & Xiao, Xuelian & He, Hongwen & Sun, Fengchun, 2021. "Feedback linearization-based MIMO model predictive control with defined pseudo-reference for hydrogen regulation of automotive fuel cells," Applied Energy, Elsevier, vol. 293(C).
    14. Angelo Lunardi & Eliomar R. Conde D & Jefferson de Assis & Darlan A. Fernandes & Alfeu J. Sguarezi Filho, 2021. "Model Predictive Control with Modulator Applied to Grid Inverter under Voltage Distorted," Energies, MDPI, vol. 14(16), pages 1-13, August.
    15. Zafari, A. & Jazaeri, M., 2017. "Conceptual design of an efficient unified shunt active power filter based on voltage and current source converters," Energy, Elsevier, vol. 119(C), pages 911-925.
    16. Gaspar, José F. & Kamarlouei, Mojtaba & Sinha, Ashank & Xu, Haitong & Calvário, Miguel & Faÿ, François-Xavier & Robles, Eider & Soares, C. Guedes, 2016. "Speed control of oil-hydraulic power take-off system for oscillating body type wave energy converters," Renewable Energy, Elsevier, vol. 97(C), pages 769-783.
    17. Hyeong-Jun Yoo & Thai-Thanh Nguyen & Hak-Man Kim, 2019. "MPC with Constant Switching Frequency for Inverter-Based Distributed Generations in Microgrid Using Gradient Descent," Energies, MDPI, vol. 12(6), pages 1-14, March.
    18. Tareen, Wajahat Ullah & Mekhilef, Saad, 2016. "Transformer-less 3P3W SAPF (three-phase three-wire shunt active power filter) with line-interactive UPS (uninterruptible power supply) and battery energy storage stage," Energy, Elsevier, vol. 109(C), pages 525-536.
    19. Kneiske, T.M. & Braun, M. & Hidalgo-Rodriguez, D.I., 2018. "A new combined control algorithm for PV-CHP hybrid systems," Applied Energy, Elsevier, vol. 210(C), pages 964-973.
    20. Tunde Aderinto & Hua Li, 2019. "Review on Power Performance and Efficiency of Wave Energy Converters," Energies, MDPI, vol. 12(22), pages 1-24, November.

    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:10:y:2017:i:10:p:1631-:d:115365. 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.