Voltage sag state estimation in power systems by applying genetic algorithms

This study presents an application of genetic algorithms to the solution of the voltage sag state estimation problem. Here, voltage sag state estimation is interpreted as the estimation of the number of voltage sags occurring at non-monitored buses by using the number of sags recorded at a limited number of monitored buses. This problem is formulated as an underdetermined system of equations. In this study, in order to streamline the solution process of this estimation problem, the Genetic Algorithm Matlab Toolbox^® was used. The performance of the proposed methodology is assessed by means of case studies applied in the IEEE 24-bus reliability test system and in the IEEE 57-bus test system and is compared with the performance of integer linear programming methods.