IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i13p4846-d1176114.html
   My bibliography  Save this article

Optimizing Load Frequency Control in Standalone Marine Microgrids Using Meta-Heuristic Techniques

Author

Listed:
  • Sanath Alahakoon

    (School of Engineering and Technology, Central Queensland University, Rockhampton 4701, Australia)

  • Rajib Baran Roy

    (School of Engineering and Technology, Central Queensland University, Rockhampton 4701, Australia)

  • Shantha Jayasinghe Arachchillage

    (Australian Energy Market Operator, Melbourne 3000, Australia
    Australian Maritime College, University of Tasmania, Launceston 7250, Australia)

Abstract

Integrating renewable resources into the electrical systems of marine vessels achieves the dual goal of diversifying energy resources and reducing greenhouse gas emissions. The presence of intermittent renewable sources and sudden nonlinear load changes can cause frequency deviations in isolated hybrid marine microgrids. To address this issue, the paper proposes a conventional PID (proportional–integral–derivative)-controller-based LFC (load frequency controller) which is optimized by meta-heuristic optimization algorithms, namely, PSO (particle swarm optimization), GWO (grey wolf optimization) and hybrid PSO-GWO. The proposed LFC was designed using transfer functions of various microgrid components, with ITAE (integral time absolute error) and ITSE (integral time square error) serving as performance indices. The proposed LFC’s validation was performed through HIL (hardware-in-loop) real-time simulation using a DS 1104 R&D controller board, with simulation results showing the better performance of the optimized frequency response compared to the nonoptimized LFC controller in terms of rise time, fall time, slew rate and overshoot. The hybrid PSO-GWO algorithm performs better than the other optimization algorithms. The simulation results demonstrate the stability and robustness of the proposed controller. In summary, the proposed PID-controller-based LFC can regulate frequency deviation in standalone hybrid marine microgrids effectively.

Suggested Citation

  • Sanath Alahakoon & Rajib Baran Roy & Shantha Jayasinghe Arachchillage, 2023. "Optimizing Load Frequency Control in Standalone Marine Microgrids Using Meta-Heuristic Techniques," Energies, MDPI, vol. 16(13), pages 1-23, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:4846-:d:1176114
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/13/4846/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/13/4846/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Latif, Abdul & Hussain, S.M. Suhail & Das, Dulal Chandra & Ustun, Taha Selim, 2020. "State-of-the-art of controllers and soft computing techniques for regulated load frequency management of single/multi-area traditional and renewable energy based power systems," Applied Energy, Elsevier, vol. 266(C).
    2. Preeti Ranjan Sahu & Rajesh Kumar Lenka & Rajendra Kumar Khadanga & Prakash Kumar Hota & Sidhartha Panda & Taha Selim Ustun, 2022. "Power System Stability Improvement of FACTS Controller and PSS Design: A Time-Delay Approach," Sustainability, MDPI, vol. 14(21), pages 1-22, November.
    3. Latif, Abdul & Hussain, S. M. Suhail & Das, Dulal Chandra & Ustun, Taha Selim, 2021. "Double stage controller optimization for load frequency stabilization in hybrid wind-ocean wave energy based maritime microgrid system," Applied Energy, Elsevier, vol. 282(PA).
    4. Maraboina Raju & Munish Kumar Gupta & Neeraj Bhanot & Vishal S. Sharma, 2019. "A hybrid PSO–BFO evolutionary algorithm for optimization of fused deposition modelling process parameters," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2743-2758, October.
    5. Aleksandar Cuculić & Dubravko Vučetić & Rene Prenc & Jasmin Ćelić, 2019. "Analysis of Energy Storage Implementation on Dynamically Positioned Vessels," Energies, MDPI, vol. 12(3), pages 1-19, January.
    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. Peddakapu, K. & Mohamed, M.R. & Srinivasarao, P. & Licari, J., 2024. "Optimized controllers for stabilizing the frequency changes in hybrid wind-photovoltaic-wave energy-based maritime microgrid systems," Applied Energy, Elsevier, vol. 361(C).
    2. Yinghao Shan & Liqian Ma & Xiangkai Yu, 2023. "Hierarchical Control and Economic Optimization of Microgrids Considering the Randomness of Power Generation and Load Demand," Energies, MDPI, vol. 16(14), pages 1-23, 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. Mahsa Dehghan Manshadi & Milad Mousavi & M. Soltani & Amir Mosavi & Levente Kovacs, 2022. "Deep Learning for Modeling an Offshore Hybrid Wind–Wave Energy System," Energies, MDPI, vol. 15(24), pages 1-16, December.
    2. Rafiq Asghar & Francesco Riganti Fulginei & Hamid Wadood & Sarmad Saeed, 2023. "A Review of Load Frequency Control Schemes Deployed for Wind-Integrated Power Systems," Sustainability, MDPI, vol. 15(10), pages 1-29, May.
    3. Cheng, Yi & Azizipanah-Abarghooee, Rasoul & Azizi, Sadegh & Ding, Lei & Terzija, Vladimir, 2020. "Smart frequency control in low inertia energy systems based on frequency response techniques: A review," Applied Energy, Elsevier, vol. 279(C).
    4. Preeti Ranjan Sahu & Rajesh Kumar Lenka & Rajendra Kumar Khadanga & Prakash Kumar Hota & Sidhartha Panda & Taha Selim Ustun, 2022. "Power System Stability Improvement of FACTS Controller and PSS Design: A Time-Delay Approach," Sustainability, MDPI, vol. 14(21), pages 1-22, November.
    5. Daraz, Amil, 2023. "Optimized cascaded controller for frequency stabilization of marine microgrid system," Applied Energy, Elsevier, vol. 350(C).
    6. Dariusz Tarnapowicz & Sergey German-Galkin & Arkadiusz Nerc & Marek Jaskiewicz, 2023. "Improving the Energy Efficiency of a Ship’s Power Plant by Using an Autonomous Hybrid System with a PMSG," Energies, MDPI, vol. 16(7), pages 1-19, March.
    7. Bhargav Appasani & Amitkumar V. Jha & Deepak Kumar Gupta & Nicu Bizon & Phatiphat Thounthong, 2023. "PSO α : A Fragmented Swarm Optimisation for Improved Load Frequency Control of a Hybrid Power System Using FOPID," Energies, MDPI, vol. 16(5), pages 1-17, February.
    8. Smruti Ranjan Nayak & Rajendra Kumar Khadanga & Sidhartha Panda & Preeti Ranjan Sahu & Sasmita Padhy & Taha Selim Ustun, 2023. "Participation of Renewable Energy Sources in the Frequency Regulation Issues of a Five-Area Hybrid Power System Utilizing a Sine Cosine-Adopted African Vulture Optimization Algorithm," Energies, MDPI, vol. 16(2), pages 1-21, January.
    9. Chen, Chunyu & Cui, Mingjian & Fang, Xin & Ren, Bixing & Chen, Yang, 2020. "Load altering attack-tolerant defense strategy for load frequency control system," Applied Energy, Elsevier, vol. 280(C).
    10. Shangguan, Xing-Chen & He, Yong & Zhang, Chuan-Ke & Jiang, Lin & Wu, Min, 2022. "Load frequency control of time-delayed power system based on event-triggered communication scheme," Applied Energy, Elsevier, vol. 308(C).
    11. Arup Das & Subhojit Dawn & Sadhan Gope & Taha Selim Ustun, 2022. "A Strategy for System Risk Mitigation Using FACTS Devices in a Wind Incorporated Competitive Power System," Sustainability, MDPI, vol. 14(13), pages 1-21, July.
    12. CH. Naga Sai Kalyan & B. Srikanth Goud & Mohit Bajaj & Malligunta Kiran Kumar & Emad M. Ahmed & Salah Kamel, 2022. "Water-Cycle-Algorithm-Tuned Intelligent Fuzzy Controller for Stability of Multi-Area Multi-Fuel Power System with Time Delays," Mathematics, MDPI, vol. 10(3), pages 1-15, February.
    13. Zare, Shahryar & Tavakolpour-saleh, A.R. & Aghahosseini, A. & Sangdani, M.H. & Mirshekari, Reza, 2021. "Design and optimization of Stirling engines using soft computing methods: A review," Applied Energy, Elsevier, vol. 283(C).
    14. Sheikh Safiullah & Asadur Rahman & Shameem Ahmad Lone & S. M. Suhail Hussain & Taha Selim Ustun, 2022. "Novel COVID-19 Based Optimization Algorithm (C-19BOA) for Performance Improvement of Power Systems," Sustainability, MDPI, vol. 14(21), pages 1-27, November.
    15. Wissem Bahloul & Mohamed Ali Zdiri & Ismail Marouani & Khalid Alqunun & Badr M. Alshammari & Mansoor Alturki & Tawfik Guesmi & Hsan Hadj Abdallah & Kamel Tlijani, 2023. "A Backstepping Control Strategy for Power System Stability Enhancement," Sustainability, MDPI, vol. 15(11), pages 1-21, June.
    16. Chunyang Xia & Zengxi Pan & Joseph Polden & Huijun Li & Yanling Xu & Shanben Chen, 2022. "Modelling and prediction of surface roughness in wire arc additive manufacturing using machine learning," Journal of Intelligent Manufacturing, Springer, vol. 33(5), pages 1467-1482, June.
    17. Ganesh Sampatrao Patil & Anwar Mulla & Subhojit Dawn & Taha Selim Ustun, 2022. "Profit Maximization with Imbalance Cost Improvement by Solar PV-Battery Hybrid System in Deregulated Power Market," Energies, MDPI, vol. 15(14), pages 1-21, July.
    18. Yin, Linfei & Li, Yu, 2022. "Hybrid multi-agent emotional deep Q network for generation control of multi-area integrated energy systems," Applied Energy, Elsevier, vol. 324(C).
    19. Neshat, Mehdi & Mirjalili, Seyedali & Sergiienko, Nataliia Y. & Esmaeilzadeh, Soheil & Amini, Erfan & Heydari, Azim & Garcia, Davide Astiaso, 2022. "Layout optimisation of offshore wave energy converters using a novel multi-swarm cooperative algorithm with backtracking strategy: A case study from coasts of Australia," Energy, Elsevier, vol. 239(PE).
    20. Désiré D. Rasolomampionona & Michał Połecki & Krzysztof Zagrajek & Wiktor Wróblewski & Marcin Januszewski, 2024. "A Comprehensive Review of Load Frequency Control Technologies," Energies, MDPI, vol. 17(12), pages 1-77, June.

    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:13:p:4846-:d:1176114. 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.