Title :
Based on the integration of the genetic principle of ant colony algorithm for distribution network restoration applications
Author :
Zhu, Hong-bo ; Jiang, Han-shu ; Zhang, Fu-gang
Author_Institution :
Sch. of Electr. Eng., Northeast Dianli Univ., Jilin, China
Abstract :
The distribution network fault recovery described, made light of the actual distribution network recovery objective function, the analysis of genetic algorithms and ant colony algorithm based on the combination of genetic algorithms and ant colony count of the respective merits of proposed A genetic algorithm into the new strategy of ant colony algorithm using the genetic algorithm has stronger global search ability, look for a group of large-scale solution, and then as a basis, using ant colony algorithm is fast to find the optimal solution is constructed based on genetic algorithm hybrid ant colony algorithm. Case analysis shows that the algorithm has fast convergence speed and a strong prime global search capabilities,to avoid premature convergence, effectively improving the power supply to restore the speed and accuracy.
Keywords :
genetic algorithms; power distribution faults; power system restoration; search problems; ant colony algorithm; distribution network fault recovery; distribution network restoration applications; fast convergence speed; genetic algorithms; global search ability; power supply improvement; Chaos; Convergence; Electronic mail; Genetics; Pattern recognition; Silicon; Switches; ant colony algorithm; distribution network; genetic algorithm; power recovery;
Conference_Titel :
Electricity Distribution (CICED), 2010 China International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4577-0066-8