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Microgrid Stability Controller Based on Adaptive Robust Total SMC

Author

Listed:
  • Xiaoling Su

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)

  • Minxiao Han

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)

  • Josep M. Guerrero

    (Institute of Energy Technology, Pontoppidanstraede 101, Aalborg East 9220, Denmark)

  • Hai Sun

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)

Abstract

This paper presents a microgrid stability controller (MSC) in order to provide existing distributed generation units (DGs) the additional functionality of working in islanding mode without changing their control strategies in grid-connected mode and to enhance the stability of the microgrid. Microgrid operating characteristics and mathematical models of the MSC indicate that the system is inherently nonlinear and time-variable. Therefore, this paper proposes an adaptive robust total sliding-mode control (ARTSMC) system for the MSC. It is proved that the ARTSMC system is insensitive to parametric uncertainties and external disturbances. The MSC provides fast dynamic response and robustness to the microgrid. When the system is operating in grid-connected mode, it is able to improve the controllability of the exchanged power between the microgrid and the utility grid, while smoothing the DGs’ output power. When the microgrid is operating in islanded mode, it provides voltage and frequency support, while guaranteeing seamless transition between the two operation modes. Simulation and experimental results show the effectiveness of the proposed approach.

Suggested Citation

  • Xiaoling Su & Minxiao Han & Josep M. Guerrero & Hai Sun, 2015. "Microgrid Stability Controller Based on Adaptive Robust Total SMC," Energies, MDPI, vol. 8(3), pages 1-18, March.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:3:p:1784-1801:d:46373
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    References listed on IDEAS

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    1. Pouresmaeil, Edris & Montesinos-Miracle, Daniel & Gomis-Bellmunt, Oriol & Bergas-Jané, Joan, 2010. "A multi-objective control strategy for grid connection of DG (distributed generation) resources," Energy, Elsevier, vol. 35(12), pages 5022-5030.
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    Cited by:

    1. Isaías V. de Bessa & Renan L. P. de Medeiros & Iury Bessa & Florindo A. C. Ayres Junior & Alessandra R. de Menezes & Gustavo M. Torres & João Edgar Chaves Filho, 2020. "Comparative Study of Control Strategies for Stabilization and Performance Improvement of DC Microgrids with a CPL Connected," Energies, MDPI, vol. 13(10), pages 1-29, May.
    2. Bingke Yan & Bo Wang & Lin Zhu & Hesen Liu & Yilu Liu & Xingpei Ji & Dichen Liu, 2015. "A Novel, Stable, and Economic Power Sharing Scheme for an Autonomous Microgrid in the Energy Internet," Energies, MDPI, vol. 8(11), pages 1-24, November.
    3. Marco Mussetta & Xuan Chau Le & Trung Hieu Trinh & Anh Tuan Doan & Minh Quan Duong & Gabriela Nicoleta Tanasiev, 2024. "An Overview of the Multilevel Control Scheme Utilized by Microgrids," Energies, MDPI, vol. 17(16), pages 1-31, August.
    4. Zhiwen Yu & Qian Ai & Xing He & Longjian Piao, 2016. "Adaptive Droop Control for Microgrids Based on the Synergetic Control of Multi-Agent Systems," Energies, MDPI, vol. 9(12), pages 1-19, December.
    5. Jorge Luis Anderson Azzano & Jerónimo J. Moré & Paul F. Puleston, 2019. "Stability Criteria for Input Filter Design in Converters with CPL: Applications in Sliding Mode Controlled Power Systems," Energies, MDPI, vol. 12(21), pages 1-19, October.
    6. Yan Xia & Yuchen Dai & Wenxu Yan & Dezhi Xu & Chengshun Yang, 2018. "Adaptive-Observer-Based Data Driven Voltage Control in Islanded-Mode of Distributed Energy Resource Systems," Energies, MDPI, vol. 11(12), pages 1-14, November.
    7. Andrea Bonfiglio & Massimo Brignone & Marco Invernizzi & Alessandro Labella & Daniele Mestriner & Renato Procopio, 2017. "A Simplified Microgrid Model for the Validation of Islanded Control Logics," Energies, MDPI, vol. 10(8), pages 1-28, August.
    8. Thai-Thanh Nguyen & Hyeong-Jun Yoo & Hak-Man Kim, 2017. "Analyzing the Impacts of System Parameters on MPC-Based Frequency Control for a Stand-Alone Microgrid," Energies, MDPI, vol. 10(4), pages 1-17, March.

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