As the types of energy resources in the Smart Grid become more customizable to meet dynamic service requirements, the number of possible ways that the grid can be provisioned increases. Automated provisioning of distributed energy resources in the Smart Grid can be error-prone. To ensure that automation is implemented consistently and provide confidence that the power system meets quality of service levels, failure scenarios can be modeled.