Clustering techniques for energy losses evaluation in distribution networks

The size and complexity of primary distribution networks make it impossible to carry out an exhaustive analysis of each individual feeder, so a sampling approach may be adopted to evaluate the energy losses for whole distribution networks. Clustering techniques were applied to several databases, obt...

Full description

Saved in:
Bibliographic Details
Main Authors: Cartina, G., Grigoras, G., Bobric, E.C.
Format: Conference Proceeding
Language:English
Subjects:
clustering techniques
Energy loss
Helium
Load modeling
power losses
Power systems
Process planning
radial distribution networks
Reactive power
representative radial network
Sampling methods
Substations
Transformers
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The size and complexity of primary distribution networks make it impossible to carry out an exhaustive analysis of each individual feeder, so a sampling approach may be adopted to evaluate the energy losses for whole distribution networks. Clustering techniques were applied to several databases, obtaining particular characteristics of the feeders groups. For every group (cluster), the feeder that represents the best the group characteristics and the energy losses was identified.
DOI:10.1109/PTC.2009.5282017