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Low-Voltage Ride-Through Operation of Grid-Connected Microgrid Using Consensus-Based Distributed Control

Author

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  • Woon-Gyu Lee

    (Department of Electrical Engineering, Incheon National University, Songdo-dong, 119 Academy-ro, Yeonsu-gu, Incheon 22012, Korea)

  • Thai-Thanh Nguyen

    (Department of Electrical Engineering, Incheon National University, Songdo-dong, 119 Academy-ro, Yeonsu-gu, Incheon 22012, Korea)

  • Hyeong-Jun Yoo

    (Department of Electrical Engineering, Incheon National University, Songdo-dong, 119 Academy-ro, Yeonsu-gu, Incheon 22012, Korea)

  • Hak-Man Kim

    (Department of Electrical Engineering, Incheon National University, Songdo-dong, 119 Academy-ro, Yeonsu-gu, Incheon 22012, Korea
    Research Institute for Northeast Asian Super Grid, Incheon National University, 119 Academy-ro, Yeonsu-gu, Incheon 22012, Korea)

Abstract

Since the penetration of distributed energy resources (DERs) and energy storage systems (ESSs) into the microgrid (MG) system has increased significantly, the sudden disconnection of DERs and ESSs might affect the stability and reliability of the whole MG system. The low-voltage ride-through (LVRT) capability to maintain stable operation of the MG system should be considered. The main contribution of this study is to propose a distributed control, based on a dynamic consensus algorithm for LVRT operation of the MG system. The proposed control method is based on a hierarchical control that consists of primary and secondary layers. The primary layer is in charge of power regulation, while the secondary layer is responsible for the LVRT operation of the MG system. The droop controller is used in the primary layer to maintain power sharing among parallel-distributed generators in the MG system. The dynamic consensus algorithm is used in the secondary layer to control the accurate reactive power sharing and voltage restoration for LVRT operation. A comparison study on the proposed control method and centralized control method is presented in this study to show the effectiveness of the proposed controller. Different scenarios of communication failures are carried out to show the reliability of the proposed control method. The tested MG system and proposed controller are modeled in a MATLAB/Simulink environment to show the feasibility of the proposed control method.

Suggested Citation

  • Woon-Gyu Lee & Thai-Thanh Nguyen & Hyeong-Jun Yoo & Hak-Man Kim, 2018. "Low-Voltage Ride-Through Operation of Grid-Connected Microgrid Using Consensus-Based Distributed Control," Energies, MDPI, vol. 11(11), pages 1-18, October.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:2867-:d:177679
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    References listed on IDEAS

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    Cited by:

    1. Elutunji Buraimoh & Anuoluwapo O. Aluko & Oluwafemi E. Oni & Innocent E. Davidson, 2022. "Decentralized Virtual Impedance- Conventional Droop Control for Power Sharing for Inverter-Based Distributed Energy Resources of a Microgrid," Energies, MDPI, vol. 15(12), pages 1-16, June.
    2. 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.
    3. Chang-Gyun An & Hoon Lee & Tae-Gyu Kim & Junsin Yi & Chung-Yuen Won, 2023. "A Study on Energy Management and Cooperative Control Considering LVRT in a Hybrid Microgrid," Energies, MDPI, vol. 16(11), pages 1-26, May.
    4. Muhammad Shahab & Shaorong Wang & Abdul Khalique Junejo, 2021. "Improved Control Strategy for Three-Phase Microgrid Management with Electric Vehicles Using Multi Objective Optimization Algorithm," Energies, MDPI, vol. 14(4), pages 1-23, February.
    5. Hyun Shin & Sang Heon Chae & Eel-Hwan Kim, 2020. "Design of Microgrid Protection Schemes Using PSCAD/EMTDC and ETAP Programs," Energies, MDPI, vol. 13(21), pages 1-19, November.

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