Reactive Power Optimization Based on Adaptive Immune Algorithm.

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 adaptive immune algorithm automatically adjusts the parameters to achieve fast convergence without falling in the local minimum point, according to the value of the distance between the antibodies. It leads to great reduction of the computation time, compared with other methods. 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 that the proposed reactive power optimization based on AIA method has advantages in terms of computation speed and convergence, and has great potential to be applied in practical power systems. [ABSTRACT FROM AUTHOR]