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Cited by 259

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Impacts of distributed generation on power system transient stability

Slootweg, J.G., Kling, W.L.·2003·IEEE Power Engineering Society Summer Meeting,

Abstract

It is expected that increasing amounts of new generation technologies will be connected to electrical power systems in the near future. Most of these technologies are of considerably smaller scale than conventional synchronous generators and are therefore connected to distribution grids. Further, many are based on technologies different from the synchronous generator, such as the squirrel cage induction generator and high or low speed generators that are grid coupled through a power electronic converter. When connected in small amounts, the impact of distributed generation on power system transient stability will be negligible. However, if its penetration level becomes higher, distributed generation may start to influence the dynamic behavior of the power system as a whole. In this paper, the impact of distributed generation technology and penetration level on the dynamics of a test system is investigated. It is found that the effects of distributed generation on the dynamics of a power system strongly depend on the technology of the distributed generators.

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Metadata

Authors
Slootweg, J. G., & Kling, W. L.
Venue
IEEE Power Engineering Society Summer Meeting,
Publisher
IEEE
Published
2003-06-25
Volume
2
Pages
862-867
OpenAlex
W1542785498
Cited by
259
References
7
FWCI
7.36
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Impacts of distributed generation on power system transient stability. https://app.cochat.ai/papers/10.1109/pess.2002.1043465
The paper
Slootweg, J. G., & Kling, W. L. (2003). Impacts of distributed generation on power system transient stability. IEEE Power Engineering Society Summer Meeting,. https://doi.org/10.1109/pess.2002.1043465

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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