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The Design and Processor-In-The-Loop Implementation of a Super-Twisting Control Algorithm Based on a Luenberger Observer for a Seamless Transition between Grid-Connected and Stand-Alone Modes in Microgrids

Author

Listed:
  • Ali Aillane

    (Laboratory of Sciences and Techniques of Automatic Control and Computer Engineering (Lab-STA), National School of Engineering of Sfax (ENIS), University of Sfax, Sfax 3038, Tunisia)

  • Karim Dahech

    (Laboratory of Sciences and Techniques of Automatic Control and Computer Engineering (Lab-STA), National School of Engineering of Sfax (ENIS), University of Sfax, Sfax 3038, Tunisia)

  • Larbi Chrifi-Alaoui

    (Laboratory of Innovative Technology (LTI, UR 3899), University of Picardie Jules Verne, 80000 Amiens, France)

  • Aissa Chouder

    (Electrical Engineering Laboratory, University Mohamed Boudiaf of M’sila, M’sila 28000, Algeria)

  • Tarak Damak

    (Laboratory of Sciences and Techniques of Automatic Control and Computer Engineering (Lab-STA), National School of Engineering of Sfax (ENIS), University of Sfax, Sfax 3038, Tunisia)

  • Abdelhak Hadjkaddour

    (Laboratory of Electrical Engineering and Automation, University Yahia Fares Medea, Medea 26000, Algeria)

  • Pascal Bussy

    (Laboratory of Innovative Technology (LTI, UR 3899), University of Picardie Jules Verne, 80000 Amiens, France)

Abstract

The abrupt transfer from grid-connected (GC) to stand-alone (SA) operation modes is one of the major issues that may threaten the stability of a distributed generation (DG) system. Furthermore, if the islanding mode happens, it is vital to take into consideration the load voltages or load current waveforms as soon as feasible. This paper develops an advanced control technique based on a super-twisting sliding mode controller (ST-SMC) for a three-phase inverter operating in both the GC and SA modes. This control scheme is proposed to ensure a smooth transition from the GC to SA mode and enhance the load voltage waveforms under the islanding mode. In addition, to minimize the operational costs of the system and the complexity of the studied model, a digital Luenberger observer (DLO) with a proper design is adopted for estimating the inverter-side current. The control scheme of the whole system switches between a current control mode during the GC mode and a voltage control mode during the SA mode. The super-twisting control algorithm is applied to the outer voltage control loop involved in the cascaded voltage/current control scheme in the SA mode. Simulation tests of a three-phase inverter are performed for the purpose of assessing the suggested control performance by using the PowerSim (PSIM) software and comparing it with a classical PI controller. Furthermore, a processor-in-the-loop (PIL) implementation in a DSP board TMS32F28335 while debugging is conducted using code composer studio 6.2.0. The obtained results show efficient control properties, such as a smooth transition among the microgrid (MG) operating modes, as well as effectiveness and robustness during both the GC and SA operation modes.

Suggested Citation

  • Ali Aillane & Karim Dahech & Larbi Chrifi-Alaoui & Aissa Chouder & Tarak Damak & Abdelhak Hadjkaddour & Pascal Bussy, 2023. "The Design and Processor-In-The-Loop Implementation of a Super-Twisting Control Algorithm Based on a Luenberger Observer for a Seamless Transition between Grid-Connected and Stand-Alone Modes in Micro," Energies, MDPI, vol. 16(9), pages 1-22, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:9:p:3878-:d:1138726
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    References listed on IDEAS

    as
    1. Kai Shi & Guanglei Zhou & Peifeng Xu & Haihan Ye & Fei Tan, 2018. "The Integrated Switching Control Strategy for Grid-Connected and Islanding Operation of Micro-Grid Inverters Based on a Virtual Synchronous Generator," Energies, MDPI, vol. 11(6), pages 1-20, June.
    2. Jae-Uk Lim & Il-seob Kwon & Hag-Wone Kim & Kwan-Yuhl Cho, 2019. "Seamless Transfer Algorithm of AC Microgrid Inverter Compensating Load Current for Weak Grid," Energies, MDPI, vol. 12(4), pages 1-15, February.
    3. Aya Amer & Khaled Shaban & Ahmed Gaouda & Ahmed Massoud, 2021. "Home Energy Management System Embedded with a Multi-Objective Demand Response Optimization Model to Benefit Customers and Operators," Energies, MDPI, vol. 14(2), pages 1-19, January.
    4. Sarat Chandra Vegunta & Michael J. Higginson & Yashar E. Kenarangui & George Tsai Li & David W. Zabel & Mohammad Tasdighi & Azadeh Shadman, 2021. "AC Microgrid Protection System Design Challenges—A Practical Experience," Energies, MDPI, vol. 14(7), pages 1-23, April.
    5. Norma Anglani & Salvatore R. Di Salvo & Giovanna Oriti & Alexander L. Julian, 2023. "Steps towards Decarbonization of an Offshore Microgrid: Including Renewable, Enhancing Storage and Eliminating Need of Dump Load," Energies, MDPI, vol. 16(3), pages 1-18, January.
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