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
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;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.726
