Title :
Research on Reactive Power Optimizing Control Based on Immune Algorithms
Author_Institution :
East China Jiao Tong Univ., Nanchang
Abstract :
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.
Keywords :
genetic algorithms; optimisation; power system security; reactive power control; IEEE-6 node power system; genetic algorithm; immune algorithms; power quality; power system security; reactive power control; reactive power optimization; Acceleration; Equations; Power measurement; Power quality; Power system modeling; Power system security; Power systems; Reactive power; Reactive power control; Voltage; immune algorithm; power system; reactive power optimization; security of power system;
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
DOI :
10.1109/ICEMI.2007.4351062
