Distribution automation monitoring using Petri nets

The growth of the electricity distribution networks and increasing application of distributed generators, has led to complexity of monitoring of automation process and possibility of making wrong decisions in operation of these networks. Hence, a system that can be housed in energy control centers to assist distribution network operators in diagnosing cases of failure diagnosis sounds necessary. Regarding this, our study employs Petri net modeling to provide a model of automation system on a distribution network that can be implemented in the monitoring system of distribution networks control centers, and using the information received at these centers, to monitor various stages of automation process, detect faulted sections, and also, to inform the operator about the incorrect states in a real time manner. Therefore, the proposed model reduces incorrect outages and increases reliability of distribution networks by informing the operator and assisting him to decide correctly.