Genetic algorithm based optimal on load transformer tap setting for loss minimization in power transmission system

This paper presents a new approach to the use of load flow by proposing the incorporation of the genetic algorithms (GAs) to search the optimal transformer tap setting in order to minimize the line losses. In this way, the choice of the transformer tap setting can be determined whilst minimizing losses and at the same time improved the voltage profile in the power system. The performance of this genetic algorithms technique was tested using standard IEEE 6-bus system and analysis of results is presented.