By Topic

New genetic algorithm for link distribution system design

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

3 Author(s)
Filipec, M. ; Dept. of Power Syst., Zagreb Univ., Croatia ; Skrlec, D. ; Krajcar, S.

The ability to supply consumers of an urban area without any longer interruption during a feeder segment or substation transformer outage is assured by a link network configuration. The goal of method proposed in this paper is to design such link distribution network that satisfies the growing and changing load demand during the long term planning period with minimal service costs subject to voltage drop, cable and transformer capacity limits, limited number of feeders outgoing at HV/MV substations and limited number of load points per link. The method is based on biologically inspired genetic algorithm (GA). Basic GA procedures adapted to the given problem that enable simultaneous routing of all links between HV/MV substations are presented. Six versions of crossover operators are compared. The results reveal that that the method is able to produce results of a kind not easily obtained before namely in terms of an amount of information about the solutions and the solution space.

Published in:

Electrotechnical Conference, 2000. MELECON 2000. 10th Mediterranean  (Volume:3 )

Date of Conference:

29-31 May 2000