Research on Reactive Power Optimizing Control Based on Immune Algorithms

This thesis tries to provide immune algorithm which is used to reactive power optimization of power system. The possibility of getting locally optimal solution which brought by the singularity of initial colony in GA can be effectively avoided, the local searching ability can be improved, and calculation can be accelerated. After the optimization calculation of the IEEE-6 node, it shows that the reactive power optimizing control based on IA and GA can reduce the power loss, raise the voltage percentage of pass, and improve the power quality.