Open AccessTaxonomic description for western Australian distribution medium‐voltage and low‐voltage feeders
Author(s) -
Li Yingliang,
Wolfs Peter J.
Publication year - 2014
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2013.0005
Subject(s) - linear discriminant analysis , voltage , smart grid , discriminant , computer science , context (archaeology) , low voltage , grid , classifier (uml) , taxonomy (biology) , quadratic equation , pattern recognition (psychology) , data mining , engineering , artificial intelligence , geography , mathematics , electrical engineering , biology , ecology , geometry , archaeology , geodesy
A typical distribution network contains hundreds of medium‐voltage (MV) feeders and ten thousands of low‐voltage (LV) feeders. This work introduces an efficient taxonomy approach that combines cluster analysis with discriminant analysis to identify statistically representative MV and LV feeders in the west Australian context. Quadratic discriminant functions have been extracted and can be used as a feeder classifier for any feeder in this distribution system. The representative feeder sets provide rigorously validated test cases for the evaluation of smart grid technologies.