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A New Robust Control Strategy for Parallel Operated Inverters in Green Energy Applications

Author

Listed:
  • Bilal Naji Alhasnawi

    (Electrical Engineering Department, University of Basrah, 61001 Basrah, Iraq)

  • Basil H. Jasim

    (Electrical Engineering Department, University of Basrah, 61001 Basrah, Iraq)

  • Walid Issa

    (Electrical Engineering Department, Sheffield Hallam University, Pond Street, Sheffield S1 1WB, UK)

  • Amjad Anvari-Moghaddam

    (Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark)

  • Frede Blaabjerg

    (Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark)

Abstract

This research work puts forward a hybrid AC/DC microgrid with renewable energy sources pertaining to consumer’s residential area for meeting the demand. Currently, the power generation and consumption have experienced key transformations. One such tendency would be integration of microgrids into the distribution network that is characterized by high penetration of renewable energy resources as well as operations in parallel. Traditional droop control can be employed in order to get an accurate steady state averaged active power sharing amongst parallel inverters pertaining to hybrid AC/DC microgrid. It is presumed that there would be similar transient average power responses, and there would be no circulating current flowing between the units for identical inverters possessing the same droop gain. However, the instantaneous power could be affected by different line impedances considerably and thus resulting in variation in circulating power that flows amongst inverters, especially during unexpected disturbances like load changes. This power, if absorbed by the inverter, could result in sudden DC-link voltage rise and trip the inverter, which in turn causes performance degradation of the entire hybrid microgrid. When the hybrid generators act as unidirectional power source, the issue worsens further. In this research work, we have put forward a new distributed coordinated control pertaining to hybrid microgrid, which can be applied for both grid connected and islanded modes that include variable loads and hybrid energy resources. Also, in order to choose the most effective controller scheme, a participation factor analysis has been designed for binding the DC-link voltage as well as reducing the circulating power. Moreover, to both photovoltaic stations and wind turbines, maximum power point tracking (MPPT) techniques have been used in order to extract the maximum power from hybrid power system when there is discrepancy in environmental circumstances. Lastly, the feasibility and effectiveness pertaining to the introduced strategy for hybrid microgrid in various modes are confirmed via simulation results.

Suggested Citation

  • Bilal Naji Alhasnawi & Basil H. Jasim & Walid Issa & Amjad Anvari-Moghaddam & Frede Blaabjerg, 2020. "A New Robust Control Strategy for Parallel Operated Inverters in Green Energy Applications," Energies, MDPI, vol. 13(13), pages 1-31, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:13:p:3480-:d:380772
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    References listed on IDEAS

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    3. Xiaobing Kong & Lele Ma & Xiangjie Liu & Mohamed Abdelkarim Abdelbaky & Qian Wu, 2020. "Wind Turbine Control Using Nonlinear Economic Model Predictive Control over All Operating Regions," Energies, MDPI, vol. 13(1), pages 1-21, January.
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    5. João Faria & José Pombo & Maria do Rosário Calado & Sílvio Mariano, 2019. "Power Management Control Strategy Based on Artificial Neural Networks for Standalone PV Applications with a Hybrid Energy Storage System," Energies, MDPI, vol. 12(5), pages 1-24, March.
    6. Biying Ren & Xiangdong Sun & Shasha Chen & Huan Liu, 2018. "A Compensation Control Scheme of Voltage Unbalance Using a Combined Three-Phase Inverter in an Islanded Microgrid," Energies, MDPI, vol. 11(9), pages 1-15, September.
    7. Jaume Miret & José Luís García de Vicuña & Ramón Guzmán & Antonio Camacho & Mohammad Moradi Ghahderijani, 2017. "A Flexible Experimental Laboratory for Distributed Generation Networks Based on Power Inverters," Energies, MDPI, vol. 10(10), pages 1-27, October.
    8. Ying-Yi Hong & Yong-Zhen Lai & Yung-Ruei Chang & Yih-Der Lee & Chia-Hui Lin, 2018. "Optimizing Energy Storage Capacity in Islanded Microgrids Using Immunity-Based Multiobjective Planning," Energies, MDPI, vol. 11(3), pages 1-15, March.
    9. Arash Moradzadeh & Omid Sadeghian & Kazem Pourhossein & Behnam Mohammadi-Ivatloo & Amjad Anvari-Moghaddam, 2020. "Improving Residential Load Disaggregation for Sustainable Development of Energy via Principal Component Analysis," Sustainability, MDPI, vol. 12(8), pages 1-14, April.
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    Cited by:

    1. Ali M. Jasim & Basil H. Jasim & Bogdan-Constantin Neagu & Simo Attila, 2023. "Electric Vehicle Battery-Connected Parallel Distribution Generators for Intelligent Demand Management in Smart Microgrids," Energies, MDPI, vol. 16(6), pages 1-29, March.
    2. Muhammad Awais & Abdul Rehman Yasin & Mudassar Riaz & Bilal Saqib & Saba Zia & Amina Yasin, 2021. "Robust Sliding Mode Control of a Unipolar Power Inverter," Energies, MDPI, vol. 14(17), pages 1-15, August.
    3. Yuko Hirase & Kazusa Uezaki & Dai Orihara & Hiroshi Kikusato & Jun Hashimoto, 2021. "Characteristic Analysis and Indexing of Multimachine Transient Stabilization Using Virtual Synchronous Generator Control," Energies, MDPI, vol. 14(2), pages 1-23, January.
    4. Bilal Naji Alhasnawi & Basil H. Jasim & M. Dolores Esteban, 2020. "A New Robust Energy Management and Control Strategy for a Hybrid Microgrid System Based on Green Energy," Sustainability, MDPI, vol. 12(14), pages 1-28, July.
    5. Seung-Yong Lee & Jae-Jung Jung, 2022. "The Circulating Current Reduction Control Method for Asynchronous Carrier Phases of Parallel Connected Inverters," Energies, MDPI, vol. 15(5), pages 1-22, March.
    6. Ali M. Jasim & Basil H. Jasim & Habib Kraiem & Aymen Flah, 2022. "A Multi-Objective Demand/Generation Scheduling Model-Based Microgrid Energy Management System," Sustainability, MDPI, vol. 14(16), pages 1-28, August.
    7. Li Zeng & Tian Xia & Salah K. Elsayed & Mahrous Ahmed & Mostafa Rezaei & Kittisak Jermsittiparsert & Udaya Dampage & Mohamed A. Mohamed, 2021. "A Novel Machine Learning-Based Framework for Optimal and Secure Operation of Static VAR Compensators in EAFs," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    8. Wilson Pavon & Esteban Inga & Silvio Simani & Maddalena Nonato, 2021. "A Review on Optimal Control for the Smart Grid Electrical Substation Enhancing Transition Stability," Energies, MDPI, vol. 14(24), pages 1-15, December.
    9. Bilal Naji Alhasnawi & Basil H. Jasim & Pierluigi Siano & Josep M. Guerrero, 2021. "A Novel Real-Time Electricity Scheduling for Home Energy Management System Using the Internet of Energy," Energies, MDPI, vol. 14(11), pages 1-29, May.
    10. Bilal Naji Alhasnawi & Basil H. Jasim & Arshad Naji Alhasnawi & Bishoy E. Sedhom & Ali M. Jasim & Azam Khalili & Vladimír Bureš & Alessandro Burgio & Pierluigi Siano, 2022. "A Novel Approach to Achieve MPPT for Photovoltaic System Based SCADA," Energies, MDPI, vol. 15(22), pages 1-29, November.
    11. Bilal Naji Alhasnawi & Basil H. Jasim & Bishoy E. Sedhom & Eklas Hossain & Josep M. Guerrero, 2021. "A New Decentralized Control Strategy of Microgrids in the Internet of Energy Paradigm," Energies, MDPI, vol. 14(8), pages 1-34, April.
    12. Sultan Alghamdi & Hatem F. Sindi & Ahmed Al-Durra & Abdullah Ali Alhussainy & Muhyaddin Rawa & Hossam Kotb & Kareem M. AboRas, 2022. "Reduction in Voltage Harmonics of Parallel Inverters Based on Robust Droop Controller in Islanded Microgrid," Mathematics, MDPI, vol. 11(1), pages 1-30, December.
    13. Bilal Naji Alhasnawi & Basil H. Jasim & Zain-Aldeen S. A. Rahman & Josep M. Guerrero & M. Dolores Esteban, 2021. "A Novel Internet of Energy Based Optimal Multi-Agent Control Scheme for Microgrid including Renewable Energy Resources," IJERPH, MDPI, vol. 18(15), pages 1-24, July.

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