Optimal Coordination of Over-Current Relays in Microgrids Using Principal Component Analysis and K-Means

Microgrids (MGs) are decentralized systems that integrate distributed energy resources and may operate in grid-connected or islanded modes. Furthermore, MGs may feature several topologies or operative scenarios. These characteristics bring about major challenges in determining a proper protection co...

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Bibliographic Details
Published inApplied sciences Vol. 11; no. 17; p. 7963
Main Authors Saldarriaga-Zuluaga, Sergio D., López-Lezama, Jesús M., Muñoz-Galeano, Nicolás
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.09.2021
Subjects
Clustering
Coordination
Datasets
Distributed generation
Energy resources
Energy sources
Integer programming
K-means
microgrids
optimization
Optimization techniques
Principal components analysis
Topology
Variables
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Summary:Microgrids (MGs) are decentralized systems that integrate distributed energy resources and may operate in grid-connected or islanded modes. Furthermore, MGs may feature several topologies or operative scenarios. These characteristics bring about major challenges in determining a proper protection coordination scheme. A new optimal coordination approach for directional over-current relays (OCRs) in MGs is proposed. In this case, a clustering of operational models is carried out by means of a K-means algorithm hybridized with the principal component analysis (PCA) technique. The number of clusters is limited by the number of setting groups of commercially available relays. The results carried out on a benchmark IEC microgrid evidence the applicability and effectiveness of the proposed approach.
ISSN:2076-3417
2076-3417
DOI:10.3390/app11177963