By Topic

Microgenetic algorithms and fuzzy logic applied to the optimal placement of capacitor banks in distribution networks

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)
de Souza, B.A. ; Dept. of Electr. Eng., Fed. Univ. of Campina Grande, Brazil ; do Nascimento Alves, H. ; Ferreira, H.A.

A microgenetic algorithm (MGA) in conjunction with fuzzy logic (FL) is proposed for solving the capacitor placement problem. The objective function includes economic savings obtained by energy loss reduction in contrast with acquisition and installation costs of fixed and switched capacitors. Voltage constraints are considered. A simple and efficient method for load-flow solution is used, with acceptable CPU time, even for very large distribution systems under full load. An approximate load-duration curve divided in different load levels is used to compute energy losses. A 34-bus test system is presented and the results are compared to the solution given by another search technique. This comparison confirms the efficiency of the proposed method which makes it promising to solve complex problems of capacitor placement in distribution feeders.

Published in:

Power Systems, IEEE Transactions on  (Volume:19 ,  Issue: 2 )