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Adaptive backstepping control for master-slave AC microgrid in smart island

Author

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  • Dehghani, Moslem
  • Niknam, Taher
  • Ghiasi, Mohammad
  • Baghaee, Hamid Reza
  • Blaabjerg, Frede
  • Dragicevǐć, Tomislav
  • Rashidi, Mohammadrashid

Abstract

To control a smart-island (which comprises three distributed generation (DG) units with their autonomous converters), based on a nonlinear backstepping control (BSC) scheme, an adaptive reference signal, and a state observer are designed to improve the steady-state performance of the system. An adaptive reference value has been designed and used instead of a constant reference signal to improve the system's steady-state performance, e.g., total harmonic distortion (THD), peak value, and effective value in the voltage control mode. The presented adaptive reference is changed based on the error between the reference signal and the output voltage signal to tend the error to zero. Compared to the classical backstepping controllers, the reference signal is pursued with a fast response and a low steady-state of loads alternations. To demonstrate the efficiency, authenticity, and compatibility of the proposed control strategy, offline digital time-domain simulation studies are carried out on a master-slave organized inverter-based microgrids in various load variations like linear and nonlinear loads in MATLAB/Simulink software environment. The obtained results are compared with previously reported techniques. Moreover, the obtained simulation results are verified by performing laboratory-based experimental tests based on digital signal processing (DSP), which validate the proposed control strategy's accuracy, authenticity, and effectiveness under different conditions.

Suggested Citation

  • Dehghani, Moslem & Niknam, Taher & Ghiasi, Mohammad & Baghaee, Hamid Reza & Blaabjerg, Frede & Dragicevǐć, Tomislav & Rashidi, Mohammadrashid, 2022. "Adaptive backstepping control for master-slave AC microgrid in smart island," Energy, Elsevier, vol. 246(C).
    • Handle: RePEc:eee:energy:v:246:y:2022:i:c:s0360544222001852
    DOI: 10.1016/j.energy.2022.123282
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    References listed on IDEAS

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    1. Obara, Shin’ya & Fujimoto, Shoki & Sato, Katsuaki & Utsugi, Yuta, 2021. "Planning renewable energy introduction for a microgrid without battery storage," Energy, Elsevier, vol. 215(PB).
    2. Dehghani, Moslem & Kavousi-Fard, Abdollah & Niknam, Taher & Avatefipour, Omid, 2021. "A robust voltage and current controller of parallel inverters in smart island: A novel approach," Energy, Elsevier, vol. 214(C).
    3. Baghaee, H.R. & Mirsalim, M. & Gharehpetian, G.B. & Talebi, H.A., 2016. "Reliability/cost-based multi-objective Pareto optimal design of stand-alone wind/PV/FC generation microgrid system," Energy, Elsevier, vol. 115(P1), pages 1022-1041.
    4. Parizad, Ali & Hatziadoniu, Konstadinos, 2020. "Security/stability-based Pareto optimal solution for distribution networks planning implementing NSGAII/FDMT," Energy, Elsevier, vol. 192(C).
    5. Yang, Bo & Zhu, Tianjiao & Zhang, Xiaoshun & Wang, Jingbo & Shu, Hongchun & Li, Shengnan & He, Tingyi & Yang, Lei & Yu, Tao, 2020. "Design and implementation of Battery/SMES hybrid energy storage systems used in electric vehicles: A nonlinear robust fractional-order control approach," Energy, Elsevier, vol. 191(C).
    6. Sovacool, Benjamin K. & Furszyfer Del Rio, Dylan D., 2020. "Smart home technologies in Europe: A critical review of concepts, benefits, risks and policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    7. Ghiasi, Mohammad, 2019. "Detailed study, multi-objective optimization, and design of an AC-DC smart microgrid with hybrid renewable energy resources," Energy, Elsevier, vol. 169(C), pages 496-507.
    8. Ardjal, Aghiles & Merabet, Adel & Bettayeb, Maamar & Mansouri, Rachid & Labib, Labib, 2019. "Design and implementation of a fractional nonlinear synergetic controller for generator and grid converters of wind energy conversion system," Energy, Elsevier, vol. 186(C).
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    Cited by:

    1. Yan Yang & Yeqin Wang & Weixing Zhang & Zhenghao Li & Rui Liang, 2022. "Design of Adaptive Fuzzy Sliding-Mode Control for High-Performance Islanded Inverter in Micro-Grid," Energies, MDPI, vol. 15(23), pages 1-25, December.

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