Undirected Graph Description and Dimensionality Reduction Deconstruction of Complex Microgrid Networks

Due to its complex architecture, modeling microgrids is challenging. This article focuses on proposing a downscaling strategy via the Louvain Community Clustering (LCC) algorithm. An undirected graph modeling method for microgrids is proposed. The algorithm divides the undirected graph into different functional domains, identifies and aggregates nodes within divided domains, and uses node clusters as the smallest modeling units, effectively reducing the difficulty of microgrid modeling.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10990804
Primary Topic
Graph Theory and Algorithms
Type
article
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article

Undirected Graph Description and Dimensionality Reduction Deconstruction of Complex Microgrid Networks

Xingyuan Chen, Yini Wang, Yang Hu, Zhentao Shi et al.
Graph Theory and Algorithms
article

Undirected Graph Description and Dimensionality Reduction Deconstruction of Complex Microgrid Networks

Xingyuan Chen, Yini Wang, Yang Hu, Zhentao Shi, Zhao Jingwei, Han Yang
article en

Abstract

Due to its complex architecture, modeling microgrids is challenging. This article focuses on proposing a downscaling strategy via the Louvain Community Clustering (LCC) algorithm. An undirected graph modeling method for microgrids is proposed. The algorithm divides the undirected graph into different functional domains, identifies and aggregates nodes within divided domains, and uses node clusters as the smallest modeling units, effectively reducing the difficulty of microgrid modeling.

North China Electric Power University (CN)
Openalex Percentile: Top 70%
Graph Theory and Algorithms
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