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Voltage Quality and Power Factor Improvement in Smart Grids Using Controlled DG Units

Author

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  • Ibrahim Ahmad

    (Department of Electrical Power Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, 166 27 Prague 6, Czech Republic)

  • Ghaeth Fandi

    (Department of Electrical Power Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, 166 27 Prague 6, Czech Republic
    Department of Sustainable Technologies, Faculty of Tropical AgriSciences, Czech University of Life Sciences Prague, Kamýcká 961/129, 165 00 Prague 6, Czech Republic)

  • Zdenek Muller

    (Department of Electrical Power Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, 166 27 Prague 6, Czech Republic)

  • Josef Tlusty

    (Department of Electrical Power Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, 166 27 Prague 6, Czech Republic
    Department of Health Care Disciplines and Population Protection, Faculty of Biomedical Engineering, Czech Technical University in Prague, Sportovců 2311, 272 01 Kladno, Czech Republic)

Abstract

The increased penetration of renewable energy sources in the electrical grid, due to the rapid increase of power demand and the need of diverse energy sources, has made distributed generation (DG) units an essential part of the modern electrical grid. The integration of many DG units in smart grids requires control and coordination between them, and the grid to maximize the benefits of the DG units. Smart grids and modern electronic devices require high standards of power quality, especially voltage quality. In this paper, a new methodology is presented to improve the voltage quality and power factor in smart grids. This method depends on using voltage variation and admittance values as inputs of a controller that controls the reactive power generation in all DG units. The results show that the controller is efficient in improving the voltage quality and power factor. Real data from an electrical network have been used in the simulation model in MATLAB Simulink to test the new approach.

Suggested Citation

  • Ibrahim Ahmad & Ghaeth Fandi & Zdenek Muller & Josef Tlusty, 2019. "Voltage Quality and Power Factor Improvement in Smart Grids Using Controlled DG Units," Energies, MDPI, vol. 12(18), pages 1-18, September.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:18:p:3433-:d:264740
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    References listed on IDEAS

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    1. Ghaeth Fandi & Vladimír Krepl & Ibrahim Ahmad & Famous O. Igbinovia & Tatiana Ivanova & Soliman Fandie & Zdenek Muller & Josef Tlusty, 2018. "Design of an Emergency Energy System for a City Assisted by Renewable Energy, Case Study: Latakia, Syria," Energies, MDPI, vol. 11(11), pages 1-22, November.
    2. Ghaeth Fandi & Ibrahim Ahmad & Famous O. Igbinovia & Zdenek Muller & Josef Tlusty & Vladimir Krepl, 2018. "Voltage Regulation and Power Loss Minimization in Radial Distribution Systems via Reactive Power Injection and Distributed Generation Unit Placement," Energies, MDPI, vol. 11(6), pages 1-17, May.
    3. Damian Shaw-Williams & Connie Susilawati & Geoffrey Walker, 2018. "Value of Residential Investment in Photovoltaics and Batteries in Networks: A Techno-Economic Analysis," Energies, MDPI, vol. 11(4), pages 1-25, April.
    4. Takashi Mitani & Muhammad Aziz & Takuya Oda & Atsuki Uetsuji & Yoko Watanabe & Takao Kashiwagi, 2017. "Annual Assessment of Large-Scale Introduction of Renewable Energy: Modeling of Unit Commitment Schedule for Thermal Power Generators and Pumped Storages," Energies, MDPI, vol. 10(6), pages 1-19, May.
    5. Omid Abrishambaf & Pedro Faria & Luis Gomes & João Spínola & Zita Vale & Juan M. Corchado, 2017. "Implementation of a Real-Time Microgrid Simulation Platform Based on Centralized and Distributed Management," Energies, MDPI, vol. 10(6), pages 1-14, June.
    6. Suman Bhullar & Smarajit Ghosh, 2018. "Optimal Integration of Multi Distributed Generation Sources in Radial Distribution Networks Using a Hybrid Algorithm," Energies, MDPI, vol. 11(3), pages 1-15, March.
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