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Photovoltaic Generation Penetration Limits in Radial Distribution Systems

Shayani, Rafael Amaral, de Oliveira, Marco Aurélio Gonçalves·2011·IEEE Transactions on Power Systems

Abstract

Photovoltaic generating units connected to distribution systems represent a type of distributed generation (DG) that has been experiencing increased growth in recent years. Higher DG penetration levels may be interesting from many different points of view, but raise important issues about distribution system operation. Therefore, new techniques are needed to determine the maximum amount of DG that may be installed without requiring major changes in the existing electric power system. According to the literature, voltage rises at load bus bars are a serious limiting factor when installing DG. This paper presents and discusses studies proving that conductor ampacity and voltage rises are limiting factors that manifest themselves under different conditions. The present study highlights situations in which line overloads are more restrictive than voltage rises. Variation in substation voltage, load, and its power factor were simulated in a simplified radial distribution system model, and the amount of distributed generation that may be installed was obtained. Mathematic formulae were developed to determine the amount of distributed generation for existing utility systems.

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Metadata

Authors
Shayani, R. A., & de Oliveira, M. A. G.
Venue
IEEE Transactions on Power Systems
Published
2011-08
Volume
26
Issue
3
Pages
1625-1631
ISSN
  • 0885-8950 (ISSN-L)
  • 1558-0679
OpenAlex
W1624458896
Cited by
299
References
0
FWCI
6.23
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Photovoltaic Generation Penetration Limits in Radial Distribution Systems. https://app.cochat.ai/papers/10.1109/tpwrs.2010.2077656
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Shayani, R. A., & de Oliveira, M. A. G. (2011). Photovoltaic Generation Penetration Limits in Radial Distribution Systems. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2010.2077656

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.