DocumentCode
2633923
Title
Loading balance of main transformers and distribution feeders using the immune algorithm
Author
Ho, Chin-Ying ; Lee, Tsung-En ; Lin, Chia-Hung
Author_Institution
Dept. of Electr. Eng., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan
fYear
2011
fDate
21-23 June 2011
Firstpage
432
Lastpage
435
Abstract
This paper examines the application of the immune algorithm for the problem of transformer and feeder loading balance. This algorithm prevents the possibility of stagnation in the iteration process and achieves the fast convergence for the global optimization. A Taipower distribution system with 12 main transformers and 68 feeders is selected for computer simulation to demonstrate the effectiveness of the proposed methodology for solving the optimal switching operation of distribution systems to enhance the loading balance of distribution feeders and transformers.
Keywords
artificial immune systems; iterative methods; power distribution; power transformers; Taipower distribution system; distribution feeder loading balance; immune algorithm; iteration process; optimal switching operation; transformer loading balance; Conferences; Electrical engineering; Entropy; Load management; Loading; Optimization; Switches; Affinity; Entropy; Immune algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
Conference_Location
Beijing
ISSN
pending
Print_ISBN
978-1-4244-8754-7
Electronic_ISBN
pending
Type
conf
DOI
10.1109/ICIEA.2011.5975622
Filename
5975622
Link To Document