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Implementation of ANN Controller Based UPQC Integrated with Microgrid

Author

Listed:
  • Hina Mahar

    (Department of Electrical Engineering, Sukkur IBA University, Sukkur 65200, Pakistan)

  • Hafiz Mudasir Munir

    (Department of Electrical Engineering, Sukkur IBA University, Sukkur 65200, Pakistan)

  • Jahangir Badar Soomro

    (Department of Electrical Engineering, Sukkur IBA University, Sukkur 65200, Pakistan)

  • Faheem Akhtar

    (Department of Electrical Engineering, Sukkur IBA University, Sukkur 65200, Pakistan)

  • Rashid Hussain

    (Department of Electrical Engineering, Sukkur IBA University, Sukkur 65200, Pakistan)

  • Mohamed F. Elnaggar

    (Department of Electrical Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj 16273, Saudi Arabia
    Department of Electrical Power and Machines Engineering, Faculty of Engineering, Helwan University, Helwan 11795, Egypt)

  • Salah Kamel

    (Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan 81542, Egypt)

  • Josep M. Guerrero

    (The Villum Center for Research on Microgrids (CROM), AAU Energy, Aalborg University, 9220 Aalborg East, Denmark)

Abstract

This study discusses how to increase power quality by integrating a unified power quality conditioner (UPQC) with a grid-connected microgrid for clean and efficient power generation. An Artificial Neural Network (ANN) controller for a voltage source converter-based UPQC is proposed to minimize the system’s cost and complexity by eliminating mathematical operations such as a-b-c to d-q-0 translation and the need for costly controllers such as DSPs and FPGAs. In this study, nonlinear unbalanced loads and harmonic supply voltage are used to assess the performance of PV-battery-UPQC using an ANN-based controller. Problems with voltage, such as sag and swell, are also considered. This work uses an ANN control system trained with the Levenberg-Marquardt backpropagation technique to provide effective reference signals and maintain the required dc-link capacitor voltage. In MATLAB/Simulink software, simulations of PV-battery-UPQC employing SRF-based control and ANN-control approaches are performed. The findings revealed that the proposed approach performed better, as presented in this paper. Furthermore, the influence of synchronous reference frame (SRF) and ANN controller-based UPQC on supply currents and the dc-link capacitor voltage response is studied. To demonstrate the superiority of the suggested controller, a comparison of percent THD in load voltage and supply current utilizing SRF-based control and ANN control methods is shown.

Suggested Citation

  • Hina Mahar & Hafiz Mudasir Munir & Jahangir Badar Soomro & Faheem Akhtar & Rashid Hussain & Mohamed F. Elnaggar & Salah Kamel & Josep M. Guerrero, 2022. "Implementation of ANN Controller Based UPQC Integrated with Microgrid," Mathematics, MDPI, vol. 10(12), pages 1-24, June.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:12:p:1989-:d:834735
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    References listed on IDEAS

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    1. Bijan Rahmani & Weixing Li & Guihua Liu, 2016. "A Wavelet-Based Unified Power Quality Conditioner to Eliminate Wind Turbine Non-Ideality Consequences on Grid-Connected Photovoltaic Systems," Energies, MDPI, vol. 9(6), pages 1-17, May.
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