Cluster Partitioning Method for High-PV-Penetration Distribution Network Based on mGA-PSO Algorithm

Cluster Partitioning Method for High-PV-Penetration Distribution Network Based on mGA-PSO Algorithm

To tackle the issues of scattered distributed photovoltaic access points and unbalanced cluster partitioning scales, an iterative clustering partitioning method is proposed, a which integrates micro-evolution genetic algorithm and particle swarm optimization (mGA-PSO). In this method, the complement...

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Bibliographic Details
Main Authors: Zhu Liu, Guowei Guo, Dehuang Gong, Lingfeng Xuan, Feiwu He, Xinglin Wan, Dongguo Zhou
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Energies
Subjects:
genetic algorithm
particle swarm optimization
distributed photovoltaic
cluster partitioning
Online Access:https://www.mdpi.com/1996-1073/18/5/1197
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