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Design of Decentralized Hybrid Microgrid Integrating Multiple Renewable Energy Sources with Power Quality Improvement

Author

Listed:
  • Jayachandran Jayaram

    (School of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur 613 401, India)

  • Malathi Srinivasan

    (School of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur 613 401, India)

  • Natarajan Prabaharan

    (School of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur 613 401, India)

  • Tomonobu Senjyu

    (Department of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa 903-0213, Japan)

Abstract

Due to the energy crisis and exhaustion in the amount of fossil fuels left, there is an urge to increase the penetration of renewables in the grid. This paper deals with the design and control of a hybrid microgrid (HMG) in the presence of variable renewable energy sources. The DC sub-grid consists of a permanent magnet synchronous generator (PMSG) wind turbine, solar PV array with a perturb-and-observe (P&O) MPPT algorithm, boost converter, and battery energy storage system (BESS) with DC loads. The AC sub-grid consists of a PMSG wind turbine and a fuel cell with an inverter circuit synchronized to the grid to meet its load demand. A bidirectional interlinking converter (IC) connects the AC sub-grid and DC sub-grid, which facilitates power exchange between them. The decentralized control of converters allows all the renewables to operate in coordination independently without communication between them. The proposed control algorithm of the IC enables it to act as an active power filter in addition to the power exchange operation. The active power filtering feature of the IC helps to retain the power quality of the microgrid as per IEEE 519 standards by providing reactive power support and reducing the harmonic levels to less than 5%. The HMG with the proposed algorithm can operate in both grid-connected and islanded modes. While operating in grid-connected mode, power exchange between DC and AC sub-grids takes place and all the load demands are met. If it is in islanded mode, a diesel generator supports the AC sub-grid to meet the critical load demands and the BESS supports the DC microgrid. The proposed model is designed and simulated using MATLAB-SIMULINK and its results are analyzed. The efficacy of the proposed control is highlighted by comparing it with the existing controls and testing the HMG for load variations.

Suggested Citation

  • Jayachandran Jayaram & Malathi Srinivasan & Natarajan Prabaharan & Tomonobu Senjyu, 2022. "Design of Decentralized Hybrid Microgrid Integrating Multiple Renewable Energy Sources with Power Quality Improvement," Sustainability, MDPI, vol. 14(13), pages 1-28, June.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7777-:d:848005
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    References listed on IDEAS

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    1. Eltamaly, Ali M., 2021. "A novel musical chairs algorithm applied for MPPT of PV systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    2. Villanueva-Rosario, Junior Alexis & Santos-García, Félix & Aybar-Mejía, Miguel Euclides & Mendoza-Araya, Patricio & Molina-García, Angel, 2022. "Coordinated ancillary services, market participation and communication of multi-microgrids: A review," Applied Energy, Elsevier, vol. 308(C).
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    Cited by:

    1. Khaled Chahine & Mohamad Tarnini & Nazih Moubayed & Abdallah El Ghaly, 2023. "Power Quality Enhancement of Grid-Connected Renewable Systems Using a Matrix-Pencil-Based Active Power Filter," Sustainability, MDPI, vol. 15(1), pages 1-19, January.
    2. Hegazy Rezk & A. G. Olabi & Enas Taha Sayed & Tabbi Wilberforce, 2023. "Role of Metaheuristics in Optimizing Microgrids Operating and Management Issues: A Comprehensive Review," Sustainability, MDPI, vol. 15(6), pages 1-27, March.
    3. Rania M. Ghoniem & Ali Alahmer & Hegazy Rezk & Samer As’ad, 2023. "Optimal Design and Sizing of Hybrid Photovoltaic/Fuel Cell Electrical Power System," Sustainability, MDPI, vol. 15(15), pages 1-19, August.
    4. Ahmed H. EL-Ebiary & Mahmoud A. Attia & Mostafa I. Marei & Mariam A. Sameh, 2022. "An Integrated Seamless Control Strategy for Distributed Generators Based on a Deep Learning Artificial Neural Network," Sustainability, MDPI, vol. 14(20), pages 1-14, October.

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