A Survey of Machine Learning Techniques for Optimal Capacitor Placement and Sizing in Smart Distribution Networks

A Survey of Machine Learning Techniques for Optimal Capacitor Placement and Sizing in Smart Distribution Networks

The increasing complexity of modern power distribution networks necessitates advanced strategies for reactive power compensation, particularly in capacitor placement and sizing. Traditional optimization techniques, while effective, often struggle with dynamic system behaviors, nonlinear loads, and r...

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Bibliographic Details
Main Authors: Kwabena Addo, Katleho Moloi, Musasa Kabeya, Evans Eshiemogie Ojo
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Machine learning
capacitor placement
sizing
loss minimization
voltage profile
smart transformer
Online Access:https://ieeexplore.ieee.org/document/10982221/
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https://ieeexplore.ieee.org/document/10982221/

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