Simulation Model Composition for the Large-Scale Analysis of Smart Grid Control Mechanisms

For the intelligent future power system (Smart Grid) new control schemes have to be developed that analyze the status of all actors and schedule required actions among these to keep the power system stable. Modelling and simulation are considered appropriate means to virtually test these control schemes prior to deployment. The research objective is to develop a concept for building a simulative testbed for the evaluation of new Smart Grid control mechanisms by composing available simulation models. This is achieved by two metamodels. The semantic metamodel is used to formally specify simulator and simulation model semantics. Based on this, the scenario metamodel can be used to specify large-scale scenario models by capturing statistical data about the scenarios as well as additional constraints that govern the way in which the scenarios are built. Two case studies show that the approach is applicable to real-world research projects.