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A Fractional Order Super Twisting Sliding Mode Controller for Energy Management in Smart Microgrid Using Dynamic Pricing Approach

Author

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  • Taimoor Ahmad Khan

    (Department of Electrical Engineering, University of Engineering and Technology, Mardan 23200, Pakistan)

  • Amjad Ullah

    (Department of Electrical Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan)

  • Ghulam Hafeez

    (Department of Electrical Engineering, University of Engineering and Technology, Mardan 23200, Pakistan)

  • Imran Khan

    (Department of Electrical Engineering, University of Engineering and Technology, Mardan 23200, Pakistan)

  • Sadia Murawwat

    (Department of Electrical Engineering, Lahore College for Women University, Lahore 54000, Pakistan)

  • Faheem Ali

    (Department of Electrical Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan)

  • Sajjad Ali

    (Department of Telecommunication Engineering, University of Engineering and Technology, Peshawar 23200, Pakistan)

  • Sheraz Khan

    (Department of Electrical Engineering, University of Engineering and Technology, Mardan 23200, Pakistan)

  • Khalid Rehman

    (Department of Electrical Engineering, CECOS University of IT & Emerging Sciences, Peshawar 25100, Pakistan)

Abstract

A real-time energy management strategy using dynamic pricing mechanism by deploying a fractional order super twisting sliding mode controller (FOSTSMC) is proposed for correspondence between energy users and providers. This framework, which controls the energy demand of the smart grid’s users is managed by the pricing signal provided by the FOSTSMC, issued to the smart meters, and adjusts the users’ demand to remove the difference between energy demand and generation. For the implementation purpose, a scenario based in MATLAB/Simulink is constructed where a sample renewable energy–integrated smart microgrid is considered. For the validation of the framework, the results of FOSTSMC are compared with the benchmark PI controller’s response. The results of the benchmark PI controller are firstly compared in step response analysis, which is followed by the comparison in deploying in renewable energy–integrated smart grid scenario with multiple users. The results indicate that the FOSTSMC-based controller strategy outperformed the existing PI controller-based strategy in terms of overshoot, energy balance, and energy price regulation.

Suggested Citation

  • Taimoor Ahmad Khan & Amjad Ullah & Ghulam Hafeez & Imran Khan & Sadia Murawwat & Faheem Ali & Sajjad Ali & Sheraz Khan & Khalid Rehman, 2022. "A Fractional Order Super Twisting Sliding Mode Controller for Energy Management in Smart Microgrid Using Dynamic Pricing Approach," Energies, MDPI, vol. 15(23), pages 1-14, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:9074-:d:989178
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    1. Tushar Kanti Roy & Amanullah Maung Than Oo & Subarto Kumar Ghosh, 2024. "Designing a High-Order Sliding Mode Controller for Photovoltaic- and Battery Energy Storage System-Based DC Microgrids with ANN-MPPT," Energies, MDPI, vol. 17(2), pages 1-22, January.

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