Analysis of timing requirements for data aggregation and control in smart grids

Modern communication mechanisms are at the heart of a smart grid system to ensure that the required information is transmitted within various components of the grid. Throughout this paper, we have studied how communication performance delays and smart grid controller delays effects the overall control system operation. The main goal of this paper is to propose and analyze resource allocation algorithm satisfying delay requirements of the communication infrastructure and the controller. Simulation of a communication network is implemented using OMNeT++ to study and record the corresponding delays. The collected data is used to train resource allocation learning algorithm implemented in Matlab. The method will enable us to have numerical evaluation of time allocation for the communication network and the controller by taking into account constraints present on the system.