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Electrical Engineering
Erschienen in: Electrical Engineering 2/2022

31.07.2021 | Original Paper

A probabilistic approach to assess the impact of wind power generation in transmission network expansion planning

verfasst von: Camile A. Moraes, Leonardo W. de Oliveira, Edimar J. de Oliveira, Daniel F. Botelho, Arthur Neves de Paula, Milena F. Pinto

Erschienen in: Electrical Engineering | Ausgabe 2/2022

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Abstract

In order to accommodate the uncertainty and variability of wind power, this paper proposes a scenario-based probabilistic model to assess the impact of intermittent wind power-based Renewable Energy Resources (RES) on the Transmission Network Expansion Planning (TNEP). The objectives comprise the evaluation of impacts considering the wind power penetration into connected and unconnected buses, as well as the optimization of reinforcements that must be made to avoid unwanted wind cutting operations and load shedding. The wind power uncertainties are represented through scenarios obtained from real historical series grouped by using the well-known k-means algorithm. The methodology performance is verified in a practical equivalent Brazilian southern system, modified to include a significant amount of wind energy. The obtained results show that the RES insertion impacts the TNEP task, changing the expansion decision.
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Nächster Artikel Adaptive on-load tap-changing voltage control for active distribution networks

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Metadaten
Titel
A probabilistic approach to assess the impact of wind power generation in transmission network expansion planning
verfasst von
Camile A. Moraes
Leonardo W. de Oliveira
Edimar J. de Oliveira
Daniel F. Botelho
Arthur Neves de Paula
Milena F. Pinto
Publikationsdatum
31.07.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Electrical Engineering / Ausgabe 2/2022
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-021-01361-y

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