By Topic

Using k-means clustering method in determination of the optimal placement of distributed generation sources in electrical distribution systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Scarlatache, F. ; Tech. Univ. Gheorghe Asachi of Iasi, Iasi, Romania ; Grigoras, G. ; Chicco, G. ; Cartina, G.

This paper proposes a method using k-means clustering, based on the operational characteristics (loss sensitivity factor and voltage values in nodes) to determine the optimal location of distributed generation sources into an electrical distribution system. The suggested method is tested on a 20 kV real rural distribution network with 91 nodes. In the optimal nodes from the network analyzed, DG is installed at different power levels, considering the evolution in time of the energy losses. On the basis of the results, the proposed method demonstrates that the methodology can be successfully used to reduce the real power losses, to improve the voltage values in nodes, but more important to determine the optimal placement of DG without violation of any of the system constraints under any operating conditions. The results show the effectiveness of the proposed method.

Published in:

Optimization of Electrical and Electronic Equipment (OPTIM), 2012 13th International Conference on

Date of Conference:

24-26 May 2012