DocumentCode
508030
Title
The Application of Adaptive Immune Algorithm for Reactive Power Optimization
Author
Jikeng, Lin ; Xudong, Wang
Author_Institution
Key Lab. of Power Syst. Simulation & Control, Tianjin Univ., Tianjin, China
Volume
4
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
454
Lastpage
458
Abstract
The adaptive immune algorithm (AIA) developed from immune algorithm (IA), owns faster computation speed and better convergence than that of GA and other stochastic type algorithms, due to its characteristic of having two layers optimization. The paper proposes to apply adaptive immune algorithm for reactive power optimization. The coding method for the control variables based on decimal system is introduced in detail. The test results of example systems demonstrate its feasibility and validity.
Keywords
genetic algorithms; reactive power; adaptive immune algorithm; coding method; control variables; decimal system; genetic algorithm; reactive power optimization; Computer applications; Convergence; Genetic mutations; Integer linear programming; Optimization methods; Power system planning; Programmable control; Reactive power; Stochastic processes; System testing; Adaptive Immune Algorithm; Coding method; Computation Speed; Reactive Power Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3736-8
Type
conf
DOI
10.1109/ICNC.2009.726
Filename
5364792
Link To Document