Title :
A novel approach for a Z-matrix building process using Genetic Algorithm
Author :
Ranjbar, A.H. ; Omranpour, H. ; Abedi, M. ; Gharehpetian, G.B.
Author_Institution :
Elec. Eng. Dept., Amirkabir Univ. of Technol., Tehran
Abstract :
In this paper, a novel approach has been presented for a Z-matrix building. In order to reduce the calculation time of Z-matrix building for large scale power systems an optimal elements selection method has been proposed. This method is based on Genetic Algorithm (GA). In this algorithm instead of crossover, a novel mutation technique has been presented. The proposed method has been tested on IEEE 14 bus benchmark. In this paper it is mathematically proved that an optimal selection starts with generator adding procedure.
Keywords :
electric generators; genetic algorithms; impedance matrix; power system simulation; Z-matrix building process; calculation time; generator adding procedure; genetic algorithm; large scale power systems; mutation technique; optimal elements selection; Benchmark testing; Genetic algorithms; Genetic mutations; Impedance; Large-scale systems; Matrix decomposition; Power system analysis computing; Power systems; Sparse matrices; Voltage; Genetic algorithm (GA); IEEE 14-bus benchmark; Z-matrix; optimal path;
Conference_Titel :
Power and Energy Conference, 2008. PECon 2008. IEEE 2nd International
Conference_Location :
Johor Bahru
Print_ISBN :
978-1-4244-2404-7
Electronic_ISBN :
978-1-4244-2405-4
DOI :
10.1109/PECON.2008.4762649
