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Distributed Generation Islanding Effect on Distribution Networks and End User Loads Using the Load Sharing Islanding Method

Author

Listed:
  • Maen Z. Kreishan

    (Department of Electrical and Electronic Engineering, City, University of London, London EC1V 0HB, UK)

  • George P. Fotis

    (Department of Electrical and Electronic Engineering Educators, School of Pedagogical and Technological Education, Ν. Ηeraklion, 141 21 Athens, Greece)

  • Vasiliki Vita

    (Department of Electrical and Electronic Engineering, City, University of London, London EC1V 0HB, UK)

  • Lambros Ekonomou

    (Department of Electrical and Electronic Engineering, City, University of London, London EC1V 0HB, UK)

Abstract

In this paper a realistic medium voltage (MV) network with four different distributed generation technologies (diesel, gas, hydro and wind) along with their excitation and governor control systems is modelled and simulated. Moreover, an exponential model was used to represent the loads in the network. The dynamic and steady state behavior of the four distributed generation technologies was investigated during grid-connected operation and two transition modes to the islanding situation, planned and unplanned. This study aims to address the feasibility of planned islanding operation and to investigate the effect of unplanned islanding. The load sharing islanding method has been used for controlling the distributed generation units during grid-connected and islanding operation. The simulation results were validated through various case studies and have shown that properly planned islanding transition could provide support to critical loads at the event of utility outages. However, a reliable protection scheme would be required to mitigate the adverse effect of unplanned islanding as all unplanned sub-cases returned severe negative results.

Suggested Citation

  • Maen Z. Kreishan & George P. Fotis & Vasiliki Vita & Lambros Ekonomou, 2016. "Distributed Generation Islanding Effect on Distribution Networks and End User Loads Using the Load Sharing Islanding Method," Energies, MDPI, vol. 9(11), pages 1-24, November.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:11:p:956-:d:83021
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    References listed on IDEAS

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    Cited by:

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    6. Karim M. El-Sharawy & Hatem Y. Diab & Mahmoud O. Abdelsalam & Mostafa I. Marei, 2021. "A Unified Control Strategy of Distributed Generation for Grid-Connected and Islanded Operation Conditions Using an Artificial Neural Network," Sustainability, MDPI, vol. 13(11), pages 1-30, June.
    7. Thomas Price & Gordon Parker & Gail Vaucher & Robert Jane & Morris Berman, 2022. "Microgrid Energy Management during High-Stress Operation," Energies, MDPI, vol. 15(18), pages 1-11, September.
    8. Stavros Lazarou & Vasiliki Vita & Lambros Ekonomou, 2018. "Protection Schemes of Meshed Distribution Networks for Smart Grids and Electric Vehicles," Energies, MDPI, vol. 11(11), pages 1-17, November.
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