Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Maximizing service restoration in reliability optimization of radial 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)
Tarnate, W.R.D. ; EEE Inst., Univ. of the Philippines Diliman, Quezon, Philippines ; Cruz, I.B.N.C. ; del Mundo, R.D. ; Malquisto, B.M.

Reliability optimization determines the optimal locations of reclosers, fuses, normally-closed switches, and tie lines in a distribution system. In quantifying the benefits that can be derived from customer restoration though tie lines, previous methodologies used predefined rules and did not maximize the service restoration that can be achieved. In this paper, we optimized distribution system reliability by dividing the reliability optimization problem into two parts: a main problem to determine the optimal locations of the devices and a sub-problem to maximize the service restoration through tie lines when evaluating a candidate solution to the main problem. In maximizing service restoration, we considered the voltage and loading constraints of the distribution system. We used Genetic Algorithm for both the main and sub-problems. To evaluate the performance of the methodology, we included optimization results for two simple radial distribution systems with voltage and loading constraints. Evaluation results allow extensions of the study in future work.

Published in:

TENCON 2012 - 2012 IEEE Region 10 Conference

Date of Conference:

19-22 Nov. 2012