DocumentCode :
3394560
Title :
Application of Ant-Genetic Algorithm in Reactive Power Optimization of Distribution Network
Author :
Zhao, Feng ; Ge, Lian ; Li, Wenxiang
Author_Institution :
Sch. of Autom. & Electr. Eng., Lanzhou Jiaotong Univ., Lanzhou, China
fYear :
2012
fDate :
27-29 March 2012
Firstpage :
1
Lastpage :
4
Abstract :
The voltage quality of distribution network can be advanced by reactive power optimization, and the active power loss also can be reduced effectively. In this paper, the reactive power optimization of power system and it´s objective function are both researched. An ant-genetic algorithm is given by using crossover and mutation operations of genetic algorithm into ant colony algorithm to generate new searching path which can not only remain genetic algorithm´s high quality of solution, but also have feature of parallel distribution of ant colony algorithm. An example is adopted to prove that the ant-genetic algorithm is effective, and it has fast convergence speed and fine global optimization ability.
Keywords :
ant colony optimisation; distribution networks; genetic algorithms; power supply quality; active power loss; ant-genetic algorithm; distribution network; reactive power optimization; voltage quality; Educational institutions; Genetic algorithms; Linear programming; Optimization; Reactive power; Sociology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
ISSN :
2157-4839
Print_ISBN :
978-1-4577-0545-8
Type :
conf
DOI :
10.1109/APPEEC.2012.6307438
Filename :
6307438
Link To Document :
بازگشت