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Adaptive Higher-Order Sliding Mode Control for Islanding and Grid-Connected Operation of a Microgrid

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  • Yaozhen Han

    (School of Information Science and Electrical Engineering, Shandong Jiaotong University, Jinan 250357, China
    State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)

  • Ronglin Ma

    (School of Information Science and Electrical Engineering, Shandong Jiaotong University, Jinan 250357, China)

  • Jinghan Cui

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
    Department of Chemical & Materials Engineering Faculty of Engineering, University of Alberta, Edmonton, AB T5J4P6, Canada)

Abstract

Grid-connected and islanding operations of a microgrid are often influenced by system uncertainties, such as load parameter variations and unmodeled dynamics. This paper proposes a novel adaptive higher-order sliding mode (AHOSM) control strategy to enhance system robustness and handle an unknown uncertainty upper bounds problem. Firstly, microgrid models with uncertainties are established under islanding and grid-connected modes. Then, adaptive third-order sliding mode and adaptive second-order sliding mode control schemes are respectively designed for the two modes. Microgrid models’ descriptions are divided into nominal part and uncertain part, and higher-order sliding mode (HOSM) control problems are transformed into finite time stability problems. Again, a scheduled law is proposed to increase or decrease sliding mode control gain adaptively. Real higher-order sliding modes are established, and finite time stability is proven based on the Lyapunov method. In order to achieve smooth mode transformation, an islanding mode detection algorithm is also adopted. The proposed control strategy accomplishes voltage control and current control of islanding mode and grid-connected mode. Control voltages are continuous, and uncertainty upper bounds are not required. Furthermore, adjustable control gain can further whittle control chattering. Simulation experiments verify the validity and robustness of the proposed control scheme.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1459-:d:150799
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    References listed on IDEAS

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    1. Eklas Hossain & Ron Perez & Sanjeevikumar Padmanaban & Pierluigi Siano, 2017. "Investigation on the Development of a Sliding Mode Controller for Constant Power Loads in Microgrids," Energies, MDPI, vol. 10(8), pages 1-24, July.
    2. Rajesh, K.S. & Dash, S.S. & Rajagopal, Ragam & Sridhar, R., 2017. "A review on control of ac microgrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 814-819.
    3. Eklas Hossain & Ron Perez & Sanjeevikumar Padmanaban & Lucian Mihet-Popa & Frede Blaabjerg & Vigna K. Ramachandaramurthy, 2017. "Sliding Mode Controller and Lyapunov Redesign Controller to Improve Microgrid Stability: A Comparative Analysis with CPL Power Variation," Energies, MDPI, vol. 10(12), pages 1-24, November.
    4. Andishgar, Mohammad Hadi & Gholipour, Eskandar & Hooshmand, Rahmat-allah, 2017. "An overview of control approaches of inverter-based microgrids in islanding mode of operation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1043-1060.
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    Cited by:

    1. Tianyu Yang & Bin Wang & Peng Chen, 2020. "Design of a Finite-Time Terminal Sliding Mode Controller for a Nonlinear Hydro-Turbine Governing System," Energies, MDPI, vol. 13(3), pages 1-14, February.
    2. Yaozhen Han & Ronglin Ma, 2019. "Adaptive-Gain Second-Order Sliding Mode Direct Power Control for Wind-Turbine-Driven DFIG under Balanced and Unbalanced Grid Voltage," Energies, MDPI, vol. 12(20), pages 1-18, October.
    3. Ammar Armghan & Muhammad Kashif Azeem & Hammad Armghan & Ming Yang & Fayadh Alenezi & Mudasser Hassan, 2021. "Dynamical Operation Based Robust Nonlinear Control of DC Microgrid Considering Renewable Energy Integration," Energies, MDPI, vol. 14(13), pages 1-23, July.
    4. Fatemeh Ghalavand & Behzad Asle Mohammadi Alizade & Hossam Gaber & Hadis Karimipour, 2018. "Microgrid Islanding Detection Based on Mathematical Morphology," Energies, MDPI, vol. 11(10), pages 1-18, October.
    5. 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.
    6. 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.
    7. Waqas Anjum & Abdul Rashid Husain & Junaidi Abdul Aziz & M Abbas Abbasi & Hasan Alqaraghuli, 2020. "Continuous dynamic sliding mode control strategy of PWM based voltage source inverter under load variations," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-20, February.

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