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Comparison of single- and multiple-distributed generation concepts in terms of power loss, voltage profile, and line flows under uncertain scenarios

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  • Karatepe, Engin
  • Ugranlı, Faruk
  • Hiyama, Takashi

Abstract

The level of uncertainty increases with growing distributed generation (DG) penetration in the power systems, thus convincing and user-friendly planning tools and strategies should be developed. We investigate the comparison between single- and multiple-DG concepts in terms of power loss, voltage profile, and line flows. A new procedure is presented based on grading the restructuring priorities by using a simple power flow analysis based probabilistic assessment including the output power uncertainties in DG resources. This procedure can facilitate the choice of which infrastructure of an existing network has precedence in the modernization of a network when DG units are integrated. Note that there is a threshold penetration level in terms of line losses, and trade-off between single- and multiple-DG concepts in respect of the capacity of existing lines and voltage profiles.

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  • Karatepe, Engin & Ugranlı, Faruk & Hiyama, Takashi, 2015. "Comparison of single- and multiple-distributed generation concepts in terms of power loss, voltage profile, and line flows under uncertain scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 317-327.
  • Handle: RePEc:eee:rensus:v:48:y:2015:i:c:p:317-327
    DOI: 10.1016/j.rser.2015.04.027
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    6. 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.
    7. Zubo, Rana.H.A. & Mokryani, Geev & Rajamani, Haile-Selassie & Aghaei, Jamshid & Niknam, Taher & Pillai, Prashant, 2017. "Operation and planning of distribution networks with integration of renewable distributed generators considering uncertainties: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1177-1198.

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