Use of genetic algorithm for evaluation and control of technical problems due load shedding in power systems

Abstract

The distribution system is the final connection between the power system and consumers. If the load shedding is necessary to ensure that operating restrictions, usually this load shedding will occur in the distribution system. This paper analyzes the load shedding in medium voltage performed in the event of reduced availability of the supply system (generation and / or transmission) that may occur due to contingencies or power rationing. For this, we propose a new methodology developed for load shedding (transfer and / or cutting loads) that is based on the methodology called Multi-objective Evolutionary Algorithm based on subpopulations tables. This algorithm which makes use of node-depth for representing distribution systems without computationally simplifications and was originally developed to address the problem of network reconfiguration, with respect to analytical losses and restoring power distribution systems. Despite the ability of this algorithm based on analyzing the unique issues for which it was designed, it does not parse the load shedding problems in distribution systems.