Title :
Quantum Genetic Algorithm and its Application in Power System Reactive Power Optimization
Author :
Miao, Hongxia ; Wang, Honghua ; Deng, Zhixiang
Abstract :
Quantum Genetic Algorithm (QGA) is a genetic algorithm (GA) based on principles of quantum computing (QC). It uses quantum bit coding, whole interference crossover and quantum gate as update operator to complete evolution search. Compared with conventional GA, QGA is characterized by small population size, rapid convergence and strong global search capability. In this paper, QGA is applied in power system reactive power optimization. Simulation and calculation is carried out in IEEE-6 node test system, and the validity and superiority of the proposed algorithm are proved.
Keywords :
genetic algorithms; power systems; reactive power; IEEE-6 node test system; convergence; global search capability; power system reactive power optimization; quantum bit coding; quantum gate; quantum genetic algorithm; whole interference crossover; Biological cells; Constraint optimization; Convergence; Genetic algorithms; Interference; Power engineering computing; Power system security; Power systems; Quantum computing; Reactive power; QGA; quantum rotation gate; reactive power optimization; whole interference crossover;
Conference_Titel :
Computational Intelligence and Security, 2009. CIS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5411-2
DOI :
10.1109/CIS.2009.133
