By Topic

Application of Ant-Genetic Algorithm in Reactive Power Optimization of Distribution Network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Feng Zhao ; Sch. of Autom. & Electr. Eng., Lanzhou Jiaotong Univ., Lanzhou, China ; Lian Ge ; Wenxiang Li

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.

Published in:

2012 Asia-Pacific Power and Energy Engineering Conference

Date of Conference:

27-29 March 2012