Title :
The application of the genetic algorithms in the optimization of transmission systems expansion
Author :
Pavlyuchenko, D.A. ; Manusov, V.Z. ; Lubchenko, V. Ya
Author_Institution :
Novosibirsk State Tech. Univ., Russia
Abstract :
This paper is devoted to the electrical network optimization with the help of genetic algorithms-an optimization method based on the simulation of biological evolution. This problem is a multi-dimensional nonlinear discrete optimization problem, which requires the use of heuristic or combinatorial algorithms. The mathematical model and algorithm of the given problem are developed. The algorithm of electrical network optimization is based on the simple genetic algorithm. The presented methodology is applied to a test electrical network. The main advantages of this approach, which allow one to increase the efficiency of such mathematical method, are shown.
Keywords :
combinatorial mathematics; genetic algorithms; heuristic programming; power transmission planning; combinatorial algorithms; electrical network optimization; genetic algorithms application; heuristic algorithms; mathematical model; multi-dimensional nonlinear discrete optimization problem; planning optimisation; transmission systems expansion; Biological system modeling; Circuits; Cost function; Evolution (biology); Evolutionary computation; Genetic algorithms; Heuristic algorithms; Mathematical model; Optimization methods; Power system modeling;
Conference_Titel :
Science and Technology, 2002. KORUS-2002. Proceedings. The 6th Russian-Korean International Symposium on
Print_ISBN :
0-7803-7427-4
DOI :
10.1109/KORUS.2002.1028062