Title :
Improved ant colony algorithm for Power Distribution Network Planning
Author :
Zhu Jia-mei ; Ren Hong-e
Author_Institution :
Inf. & Comput. Eng. Coll., Northeast Forestry Univ., Harbin, China
Abstract :
Proposesing a multi-state adaptive ant pheromones mechanism base on researching on ant colony algorithm model, pheromones update and pheromones selection had been improved. Make up the traditional ant colony algorithm for the calculation of distribution network planning that is slow and easy to fall into local optimal solution. And improved the convergence of the optimal solution. The validity of the improved algorithm has been verified using a testing function. Moreover, a satisfactory optimum solution for a Power Distribution Network Planning that has 73 user has been obtained. And the effective design method for permanent-magnet synchronous motor has been suggested based on the improved ACO.
Keywords :
optimisation; permanent magnet motors; power distribution planning; ant colony algorithm; multi-state adaptive ant pheromones mechanism; permanent- magnet synchronous motor; power distribution network planning; Ant colony optimization; Cities and towns; Computer networks; Constraint optimization; Design optimization; Distributed computing; Power engineering and energy; Power engineering computing; Power systems; Scheduling algorithm; Ant Colony Algorithm; Optimization; Power Distribution Netwok Planning; dynamic adaptive;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5486991