Title :
Application of Ant-Genetic Algorithm in Reactive Power Optimization of Distribution Network
Author :
Zhao, Feng ; Ge, Lian ; Li, Wenxiang
Author_Institution :
Sch. of Autom. & Electr. Eng., Lanzhou Jiaotong Univ., Lanzhou, China
Abstract :
The voltage quality of distribution network can be advanced by reactive power optimization, and the active power loss also can be reduced effectively. In this paper, the reactive power optimization of power system and it´s objective function are both researched. An ant-genetic algorithm is given by using crossover and mutation operations of genetic algorithm into ant colony algorithm to generate new searching path which can not only remain genetic algorithm´s high quality of solution, but also have feature of parallel distribution of ant colony algorithm. An example is adopted to prove that the ant-genetic algorithm is effective, and it has fast convergence speed and fine global optimization ability.
Keywords :
ant colony optimisation; distribution networks; genetic algorithms; power supply quality; active power loss; ant-genetic algorithm; distribution network; reactive power optimization; voltage quality; Educational institutions; Genetic algorithms; Linear programming; Optimization; Reactive power; Sociology;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0545-8
DOI :
10.1109/APPEEC.2012.6307438