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Fractional Order Fuzzy Based Virtual Inertia Controller Design for Frequency Stability in Isolated Hybrid Power Systems

Author

Listed:
  • Tarkeshwar Mahto

    (Electrical and Electronics Engineering Department, SRM University AP, Amravati 522502, India)

  • Rakesh Kumar

    (Department of Electrical and Electronics Engineering, M S Ramaiah Institute of Technology, Bengaluru 560054, India)

  • Hasmat Malik

    (Berkeley Education Alliance for Research in Singapore (BEARS), University Town, National University of Singapore (NUS) Campus, Singapore 119077, Singapore)

  • S. M. Suhail Hussain

    (Fukushima Renewable Energy Institute, AIST (FREA), National Institute of Advanced Industrial Science and Technology (AIST), Koriyama 963-0298, Japan)

  • Taha Selim Ustun

    (Fukushima Renewable Energy Institute, AIST (FREA), National Institute of Advanced Industrial Science and Technology (AIST), Koriyama 963-0298, Japan)

Abstract

In the present era, electrical power system is evolving to an inverter-dominated system from a synchronous machine-based system, with the hybrid power systems (HPS) and renewable energy generators (REGs) increasing penetration. These inverters dominated HPS have no revolving body, therefore, diminishing the overall grid inertia. Such a low system inertia could create issues for HPS with REG (HPSREG) such as system instability and lack of resilience under disturbances. A control strategy, therefore, is required in order to manage this task besides benefitting from the full potential of the REGs. A virtual inertia control for an HPSREG system built with the principle of fractional order (FO) by incorporation of proportional-integral-derivative (PID) controller and fuzzy logic controller (FLC) has been projected. It is utilized by adding virtual inertia into HPSREG system control loop and referred to as FO based fuzzy PID controller for this study. Simulation outcomes states that the advocated FO based fuzzy PID controller has superior control in frequency of the system under frequent load variations. It has been noted that the proposed control scheme exhibits improved efficiency in maintaining specific reference frequency and power tracking as well as disturbance diminution than optimal classic and FO-based controller. It has been validated that, the developed controller effectively delivers preferred frequency and power provision to a low-inertia HPSREG system against high load demand perturbation. In the presented paper, analysis based on sensitivity has also been performed and it has been found that the HPSREG system’s is not effected by system parameter and load variations.

Suggested Citation

  • Tarkeshwar Mahto & Rakesh Kumar & Hasmat Malik & S. M. Suhail Hussain & Taha Selim Ustun, 2021. "Fractional Order Fuzzy Based Virtual Inertia Controller Design for Frequency Stability in Isolated Hybrid Power Systems," Energies, MDPI, vol. 14(6), pages 1-21, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1634-:d:517164
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    References listed on IDEAS

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    1. Bhatti, T.S. & Al-Ademi, A.A.F. & Bansal, N.K., 1997. "Load-frequency control of isolated wind-diesel-microhydro hybrid power systems (WDMHPS)," Energy, Elsevier, vol. 22(5), pages 461-470.
    2. Thongchart Kerdphol & Fathin S. Rahman & Yasunori Mitani & Komsan Hongesombut & Sinan Küfeoğlu, 2017. "Virtual Inertia Control-Based Model Predictive Control for Microgrid Frequency Stabilization Considering High Renewable Energy Integration," Sustainability, MDPI, vol. 9(5), pages 1-21, May.
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    Cited by:

    1. Nagendra Kumar & Majed A. Alotaibi & Akhilesh Singh & Hasmat Malik & Mohammed E. Nassar, 2022. "Application of Fractional Order-PID Control Scheme in Automatic Generation Control of a Deregulated Power System in the Presence of SMES Unit," Mathematics, MDPI, vol. 10(3), pages 1-16, February.
    2. Fauzan Hanif Jufri & Jaesung Jung & Budi Sudiarto & Iwa Garniwa, 2023. "Development of Virtual Inertia Control with State-of-Charge Recovery Strategy Using Coordinated Secondary Frequency Control for Optimized Battery Capacity in Isolated Low Inertia Grid," Energies, MDPI, vol. 16(14), pages 1-22, July.
    3. Mohammad Junaid Khan & Lini Mathew & Majed A. Alotaibi & Hasmat Malik & Mohammed E. Nassar, 2022. "Fuzzy-Logic-Based Comparative Analysis of Different Maximum Power Point Tracking Controllers for Hybrid Renewal Energy Systems," Mathematics, MDPI, vol. 10(3), pages 1-28, February.
    4. Oshnoei, Soroush & Aghamohammadi, Mohammad Reza & Oshnoei, Siavash & Sahoo, Subham & Fathollahi, Arman & Khooban, Mohammad Hasan, 2023. "A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control," Applied Energy, Elsevier, vol. 343(C).

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