Title :
Distribution network reconstruction based on improved ant colony algorithm of directional pheromones
Author :
Wang Hui ; Zhao Liang ; Wang Wei ; Zhou Fei-fan ; Ji Xiu ; Zhang Hong
Author_Institution :
Sch. of Electr. Eng. & Inf. Technol., Changchun Inst. of Technol., Changchun, China
Abstract :
Distribution Network Reconfiguration had important significance for the safe operation of distribution network. To solve the problem, an improved ant colony algorithm was proposed to solve the distribution network reconfiguration. a new pheromone update strategy and slip selection strategy with the factor exploration rate were given, it promoted convergence speed and control accuracy of ant colony algorithm and prevent the algorithm falling into local optimum. Finally, the improved algorithm was simulated to solve distribution network reconfiguration, Simulation results show that the improved ant colony algorithm was applied effectively with fast convergence rate and could obtain optimum solution to solve the problem of distribution network reconfiguration.
Keywords :
ant colony optimisation; distribution networks; directional pheromones; distribution network reconstruction; factor exploration rate; improved ant colony algorithm; Algorithm design and analysis; Artificial intelligence; Convergence; Power systems; Probability; Resistance; Simulation; Distribution network reconstruction; directional pheromones; improved ant colony algorithm;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162108