In this work, we study the performance of a distributed optimal power flow control algorithm with respect to realistic communication quality of service. By making use of a communication network simulator, namely “GNS3”, we created a framework that simulates both the controllers involved in the optimal power flow algorithm and the communication between them. Using this platform, we investigate and give insights into the convergence time of the distributed algorithm when applied to the IEEE 13 and IEEE 123 node test feeders. By leveraging the simulation results, we define parameters on the network quality of service, such that the distributed optimal power flow algorithm could be used for secondary or tertiary control.To deal with the complexity induced by a large number of components involved in these simulations, we present a methodology to automate and streamline the generation and the analysis of simulation scenarios.