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Control Method of Parallel Inverters with Self-Synchronizing Characteristics in Distributed Microgrid

Author

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  • Xiangwu Yan

    (Key Laboratory of Distributed Energy Storage and Micro-Grid in Hebei, North China Electric Power University, Baoding 071003, Hebei, China)

  • Yang Cui

    (School of Electrical and Electric Engineering, North China Electric Power University, Changping District, Beijing 102206, China)

  • Sen Cui

    (School of Electrical and Electric Engineering, North China Electric Power University, Changping District, Beijing 102206, China)

Abstract

The centralized control mode is no longer applicable for microgrid operation due to the high penetration rate of distributed energy, which is responsible for the widespread interest in the use of the distributed microgrid. Focusing on the issues of power coupling and uncontrollable droop coefficient at the terminal of the connecting line between the micro-source and AC bus, which is rarely considered, this paper proposes an improved virtual synchronous generator (VSG) control strategy based on local data considering precise control of the droop coefficient and realizing the power decoupling and the expected droop characteristics. Then, combined with the virtual rotor characteristic matching method, the reasonable active and reactive power sharing of the parallel microgrid inverters are realized in terms of static and dynamic performance without additional improvement of reactive power control. Finally, the effectiveness and feasibility of the proposed method are verified based on the MATLAB/Simulink simulation platform. The combination of the proved strategy and matching principle endows inverters with self-synchronization characteristics, forming the self-synchronizing voltage sources, which gives the distributed microgrid a higher self-stability, autonomy and robustness to ensure the stable operation of the microgrid.

Suggested Citation

  • Xiangwu Yan & Yang Cui & Sen Cui, 2019. "Control Method of Parallel Inverters with Self-Synchronizing Characteristics in Distributed Microgrid," Energies, MDPI, vol. 12(20), pages 1-20, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:3871-:d:275912
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    References listed on IDEAS

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    1. Cao-Khang Nguyen & Thai-Thanh Nguyen & Hyeong-Jun Yoo & Hak-Man Kim, 2017. "Improving Transient Response of Power Converter in a Stand-Alone Microgrid Using Virtual Synchronous Generator," Energies, MDPI, vol. 11(1), pages 1-17, December.
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    5. Yaozhen Han & Ronglin Ma & Jinghan Cui, 2018. "Adaptive Higher-Order Sliding Mode Control for Islanding and Grid-Connected Operation of a Microgrid," Energies, MDPI, vol. 11(6), pages 1-17, June.
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    7. Zhilin Lyu & Qing Wei & Yiyi Zhang & Junhui Zhao & Emad Manla, 2018. "Adaptive Virtual Impedance Droop Control Based on Consensus Control of Reactive Current," Energies, MDPI, vol. 11(7), pages 1-17, July.
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    Cited by:

    1. Marcel Nicola & Claudiu-Ionel Nicola & Dan Selișteanu, 2022. "Improvement of the Control of a Grid Connected Photovoltaic System Based on Synergetic and Sliding Mode Controllers Using a Reinforcement Learning Deep Deterministic Policy Gradient Agent," Energies, MDPI, vol. 15(7), pages 1-32, March.
    2. Miloud Rezkallah & Sanjeev Singh & Ambrish Chandra & Bhim Singh & Hussein Ibrahim, 2020. "Off-Grid System Configurations for Coordinated Control of Renewable Energy Sources," Energies, MDPI, vol. 13(18), pages 1-25, September.
    3. Ishita Ray, 2021. "Review of Impedance-Based Analysis Methods Applied to Grid-Forming Inverters in Inverter-Dominated Grids," Energies, MDPI, vol. 14(9), pages 1-18, May.
    4. Quan-Quan Zhang & Rong-Jong Wai, 2021. "Robust Power Sharing and Voltage Stabilization Control Structure via Sliding-Mode Technique in Islanded Micro-Grid," Energies, MDPI, vol. 14(4), pages 1-27, February.
    5. Marcel Nicola & Claudiu-Ionel Nicola, 2021. "Fractional-Order Control of Grid-Connected Photovoltaic System Based on Synergetic and Sliding Mode Controllers," Energies, MDPI, vol. 14(2), pages 1-25, January.

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