Title :
Power system reactive power optimization based on the Immune Ant Colony Algorithm
Author :
Cao, An-zhao ; Xia, Xin-yun ; Li, Ling-chun
Author_Institution :
Manage Eng. Dept., Anhui Univ. of Technol. & Sci., Wuhu, China
Abstract :
This paper presents an algorithm for optimizing reactive power using Immune Ant Colony Algorithm. The hybrid algorithm uses IA to give pheromone to distribute and makes use of improved ACA to give the optimal solution. This algorithm has been applied to IEEE 30 system and shows better results and convergence rate as compared to IA and ACA and other methods.
Keywords :
power system simulation; reactive power; ACA; IEEE 30 system; power system reactive power optimization immune ant colony algorithm; Bismuth; Convergence; Electronic mail; Optimization; Programming; Reactive power; Ant Colony Algorithm (ACA); Immune Algorithm (IA); Immune Ant Colony Algorithm (IACA); Reactive Power Optimization;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554934
