Power System Sectionalizing Optimization Using Genetic Algorithm

Abstract

This paper proposes the algorithm for searching the optimal configuration of the power network, taking into account short-circuit currents and losses, using the genetic algorithm. The proposed method allows finding the optimal configuration of the power network effectively, for a relatively small number of iterations (significantly less than with a full search of all options). The influence of the population size on the number of runs to calculate the mode and short-circuit currents is analyzed. Standard IEEE schemes were used as test schemes, with 14 nodes, 20 branches and 118 nodes, 186 branches. The modeling was performed in the MATLAB software environment and the package of procedures for calculating the Matpower 6.0 mode.