Title :
Restorative planning of power system using genetic algorithm with branch exchange method
Author_Institution :
Yokohama Nat. Univ., Japan
Abstract :
The restorative planning problem can be treated as a combinatorial problem. In our study, the genetic algorithm combined with the branch exchange method is used to solve the problem. The genetic algorithm has the ability to search the global minimum. On the other hand, the branch exchange method is effective for searching the local minimum. It is shown that the combination of two methods is very powerful
Keywords :
combinatorial mathematics; genetic algorithms; power system planning; power system restoration; search problems; branch exchange method; combinatorial problem; genetic algorithm; global minimum searching; local minimum searching; power system; restorative planning; Biological cells; Genetic algorithms; Hamming distance; Load flow; Low voltage; Mathematical programming; Power system modeling; Power system planning; Power system restoration; State-space methods;
Conference_Titel :
Intelligent Systems Applications to Power Systems, 1996. Proceedings, ISAP '96., International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-3115-X
DOI :
10.1109/ISAP.1996.501064
