Intelligent system for automatic reconfiguration of distribution network in real time

Abstract

In normal operation, the reconfiguration of distribution network can reduce losses, balance loads and improve quality indicators. The increasing use of remote controlled equipment in power systems leads the development of more efficient techniques for automatic reconfiguration of network, being particularly important in Smart Grid applications. This paper presents a methodology and system for automatic reconfiguration of distribution network in real time. The optimization of the network performance is based on a heuristic method and multicriterial analysis. This work relies on the Analytic Hierarchic Process (AHP) method to define weights for the optimization criteria and to determine the best sequence of switching for the network. In addition, the analysis of the technical feasibility of connecting feeders in parallel during the reconfiguration is also considered, focusing on determining transient constraints. The method assumes that only the remote controlled switches are analyzed. The developed algorithms are integrated into a supervisory system, which allows real time measurements and commands to the equipment. The proposed methodology is tested in a real network of a power utility and results are presented and discussed.