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Optimal Control of a Single-Stage Modular PV-Grid-Driven System Using a Gradient Optimization Algorithm

Author

Listed:
  • Saleh Masoud Abdallah Altbawi

    (Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Johor, Malaysia)

  • Ahmad Safawi Bin Mokhtar

    (Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Johor, Malaysia)

  • Saifulnizam Bin Abdul Khalid

    (Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Johor, Malaysia)

  • Nusrat Husain

    (Department of Electronics & Power Engineering, Pakistan Navy Engineering College, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan)

  • Ashraf Yahya

    (Department of Electronics & Power Engineering, Pakistan Navy Engineering College, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan)

  • Syed Aqeel Haider

    (Department of Computer & Information Systems Engineering, Faculty of Electrical & Computer Engineering, NED University of Engineering and Technology, Karachi 75270, Pakistan)

  • Rayan Hamza Alsisi

    (Department of Electrical Engineering, Faculty of Engineering, Islamic University of Madinah, Madinah 41411, Saudi Arabia)

  • Lubna Moin

    (Department of Electronics & Power Engineering, Pakistan Navy Engineering College, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan)

Abstract

There are many studies that focus on extracting harmonics from both DC and AC sides of grid-interfaced photovoltaic (PV) systems. Based on these studies, the paper introduces an efficient method depending on hybrid DC voltage, and an active and reactive power (DC-V PQ) control scheme in a single-stage three-phase grid-interfaced PV system. The proposed scheme is designed to regulate DC voltage to minimize power loss and energy share between the network reconfiguration and the utility grid. Moreover, the technique is more effective at dealing with uncertainty and has higher reliability under various operating scenarios. These operations are the insertion of linear load 1, nonlinear load, and linear load 2. Moreover, a novel objective function (OF) is developed to improve the dynamic response of the system. OF is coupled with a particle swarm optimization (PSO) algorithm and a gradient optimization (GBO) algorithm. The analysis and the comparative study prove the superiority of GBO with counterfeits algorithm.

Suggested Citation

  • Saleh Masoud Abdallah Altbawi & Ahmad Safawi Bin Mokhtar & Saifulnizam Bin Abdul Khalid & Nusrat Husain & Ashraf Yahya & Syed Aqeel Haider & Rayan Hamza Alsisi & Lubna Moin, 2023. "Optimal Control of a Single-Stage Modular PV-Grid-Driven System Using a Gradient Optimization Algorithm," Energies, MDPI, vol. 16(3), pages 1-23, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1492-:d:1055892
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    References listed on IDEAS

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    1. Long Bo & Lijun Huang & Yufei Dai & Youliang Lu & Kil To Chong, 2018. "Mitigation of DC Components Using Adaptive BP-PID Control in Transformless Three-Phase Grid-Connected Inverters," Energies, MDPI, vol. 11(8), pages 1-22, August.
    2. Sureshkumar, K. & Ponnusamy, Vijayakumar, 2019. "Power flow management in micro grid through renewable energy sources using a hybrid modified dragonfly algorithm with bat search algorithm," Energy, Elsevier, vol. 181(C), pages 1166-1178.
    3. Mariam A. Sameh & Mostafa I. Marei & M. A. Badr & Mahmoud A. Attia, 2021. "An Optimized PV Control System Based on the Emperor Penguin Optimizer," Energies, MDPI, vol. 14(3), pages 1-16, February.
    4. Touqeer Ahmed Jumani & Mohd Wazir Mustafa & Madihah Md Rasid & Nayyar Hussain Mirjat & Zohaib Hussain Leghari & M. Salman Saeed, 2018. "Optimal Voltage and Frequency Control of an Islanded Microgrid Using Grasshopper Optimization Algorithm," Energies, MDPI, vol. 11(11), pages 1-20, November.
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    Cited by:

    1. Matías Garbarino & Jaime Rohten & Rodrigo Morales & José Espinoza & Javier Muñoz & José Silva & David Dewar, 2023. "Extended Operating Region Algorithm for PV Array Connected to Microgrids for Wide Frequency and Amplitude Variations," Energies, MDPI, vol. 16(7), pages 1-22, March.

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