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Distributed Operation of Microgrids Considering Secondary Frequency Restoration Based on the Diffusion Algorithm

Author

Listed:
  • Su-Been Hong

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

  • Thai-Thanh Nguyen

    (Research Institute for Northeast Asian Super Grid, Incheon National University, 119 Academy-ro, Yeonsu-gu, Incheon 22012, Korea)

  • Jinhong Jeon

    (Division of Smart Distribution Research Center, Korea Electrotechnology Research Institute, Changwon 51543, 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

This paper proposes a distributed control of the microgrid (MG) system based on the diffusion algorithm. Unlike the existing decentralized strategy that focuses on the economic operation of the MG system, the proposed strategy performs secondary frequency regulation in addition to the optimization of the MG system. The hierarchical control technique is employed in this study, where the primary layer is responsible for power control and the secondary layer is responsible for the frequency control and economic operation of the MG system. A tested MG system with four distributed generations (DGs) is considered. Three types of communication topologies are evaluated in this study, which are line, ring, and full topologies. The proposed controller is compared to the conventional consensus controller to show the effectiveness of the proposed diffusion controller. Simulation results show that the proposed diffusion strategy improves the convergence speed of the distributed control, resulting in the improvement of power responses and frequency quality of the MG system. The tested system is implemented in the MATLAB/Simulink environment to show the feasibility of the proposed diffusion controller.

Suggested Citation

  • Su-Been Hong & Thai-Thanh Nguyen & Jinhong Jeon & Hak-Man Kim, 2020. "Distributed Operation of Microgrids Considering Secondary Frequency Restoration Based on the Diffusion Algorithm," Energies, MDPI, vol. 13(12), pages 1-14, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3207-:d:374094
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    References listed on IDEAS

    as
    1. Sang-Ji Lee & Jin-Young Choi & Hyung-Joo Lee & Dong-Jun Won, 2017. "Distributed Coordination Control Strategy for a Multi-Microgrid Based on a Consensus Algorithm," Energies, MDPI, vol. 10(7), pages 1-16, July.
    2. Gui, Yonghao & Wei, Baoze & Li, Mingshen & Guerrero, Josep M. & Vasquez, Juan C., 2018. "Passivity-based coordinated control for islanded AC microgrid," Applied Energy, Elsevier, vol. 229(C), pages 551-561.
    3. Cao-Khang Nguyen & Thai-Thanh Nguyen & Hyeong-Jun Yoo & Hak-Man Kim, 2018. "Consensus-Based SOC Balancing of Battery Energy Storage Systems in Wind Farm," Energies, MDPI, vol. 11(12), pages 1-15, December.
    4. Rong Fu & Yingjun Wu & Hailong Wang & Jun Xie, 2015. "A Distributed Control Strategy for Frequency Regulation in Smart Grids Based on the Consensus Protocol," Energies, MDPI, vol. 8(8), pages 1-15, July.
    5. Van-Hai Bui & Akhtar Hussain & Hak-Man Kim, 2017. "Diffusion Strategy-Based Distributed Operation of Microgrids Using Multiagent System," Energies, MDPI, vol. 10(7), pages 1-21, July.
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