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 :
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