DocumentCode
1633428
Title
The improving GA coding and decoding techniques for distribution network reconfigurations
Author
Xiaoming, Li ; Yanhao, Huang ; Xianggen, Yin
Author_Institution
Dept. of Electr. Eng., Wuhan Univ., China
Volume
1
fYear
2004
Firstpage
79
Abstract
When a genetic algorithm (GA) is used for power distribution network reconfiguration, it is important to improve coding and decoding techniques based on the characteristics of distribution networks in order to enhance the algorithm´s efficiency. A loop coding technique is presented; it can efficiently reduce the length of a chromosome by taking out the branches (breakers) that are not included in any loops from the branches included in the chromosome. A new decoding technique is also proposed; it can be used efficiently to solve the objective function. A test computation is presented; it proves these techniques are efficient and practicable, and they can be used in power distribution network reconfigurations.
Keywords
binary codes; genetic algorithms; power distribution planning; trees (mathematics); GA coding techniques; GA decoding techniques; binary coding; genetic algorithm efficiency enhancement; loop coding technique; objective function; power distribution network reconfiguration; tree decoding; Biological cells; Computer networks; Decoding; Distributed computing; Genetic algorithms; Load flow; Network topology; Power supplies; Power systems; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Universities Power Engineering Conference, 2004. UPEC 2004. 39th International
Conference_Location
Bristol, UK
Print_ISBN
1-86043-365-0
Type
conf
Filename
1491967
Link To Document