Title :
Clustering techniques for energy losses evaluation in distribution networks
Author :
Cartina, G. ; Grigoras, G. ; Bobric, E.C.
Author_Institution :
Dept. of Power Syst., Gh. Asachi Tech. Univ., Iasi, Romania
Abstract :
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.
Keywords :
loss measurement; power distribution; statistical analysis; clustering techniques; distribution networks; energy losses evaluation; feeder analysis; feeder group characteristics; sampling approach; Databases; Energy loss; Helium; Load modeling; Power systems; Process planning; Reactive power; Sampling methods; Substations; Transformers; clustering techniques; power losses; radial distribution networks; representative radial network;
Conference_Titel :
PowerTech, 2009 IEEE Bucharest
Conference_Location :
Bucharest
Print_ISBN :
978-1-4244-2234-0
Electronic_ISBN :
978-1-4244-2235-7
DOI :
10.1109/PTC.2009.5282017
